AcuraStem is a pre-clinical stage, patient-focused biotechnology company translating cutting-edge science into transformative therapies for neurodegenerative diseases. By combining proprietary iPSC-based disease modeling with a deep commitment to rigorous science, AcuraStem is building a pipeline of precision medicines with the goal of bringing new hope to patients afflicted with devastating diseases. Our translational approach integrates human-based discovery, biomarker development, and therapeutic advancement, enabling a direct path from bench to bedside. We are a team of curious, driven, and collaborative scientists who value high integrity, quality data, and reproducibility. At AcuraStem, every experiment contributes to our mission of accelerating therapies into the clinic.
Apeximmune Therapeutics is pioneering a new generation of therapeutic antibodies and biologics that harness the power of the immune system to deliver curative treatments for cancer and autoimmune disease. We leverage our target discovery and validation platform to uncover proprietary insights into novel immune modulating targets and pathways, to which we develop drug candidates designed to either enhance or subdue immune function for therapeutic effect. We are driven by the potential to positively impact human life with meaningful medicines, while always being guided by the biology and rigorous science. The Apeximmune team encompasses expertise in immunology, cellular and molecular tumor biology, antibody generation, protein characterization and engineering, and the regulatory process.
Altechna R&D, brand name Workshop of Photonics (WOP) is a Lithuanian-based high-tech company specializing in femtosecond laser micromachining, with over two decades of experience in delivering ultra-precise solutions for industrial and scientific applications. The company is renowned for its expertise in glass processing, transparent materials, and custom laser system development.
Chain Reaction (https://www.chain-reaction.io/) is engineering the future of disruptive blockchain and privacy technologies. We accelerate compute performance, enabling companies to adopt and scale solutions to the world’s most complex problems. Partnering with cloud and data centers, we transform compute infrastructure with custom ASICs and systems that optimize for energy efficient, high-performance compute. Our 3PU™ (Privacy Processor) dramatically accelerates real-time operations of Privacy Enhancing Technologies on encrypted data, transforming the cloud into a trusted environment, enabling verticals that rely on confidential big data to use the cloud (including financial institutions, healthcare & big pharma, defense & government, and oil & gas). Purpose-built and custom-designed, our solutions power the next generation of secure, scalable, green computing to help protect people, privacy, and the planet.
Cellentia is leveraging cancer organoids to identify drugs that can cure metastatic cancers. We are specialized in bioassays using patient-derived cancer organoids.
Based in San Diego, Kneron Inc. is a start-up dedicated to local/edging AI solutions. Kneron was the winner of Tengfei Award by Tencent and won the third place in Innovation Competition of International Talents, Silicon Valley Division.
We are an AI biotech company focused on developing small molecule therapeutics in the immunology space. Our platform is a ligand-based large language model, which currently can inference >5B synthesizable compounds.
MSS USA CORP, established in May 2024, is a subsidiary of MSSCORPS CO., LTD. We uphold our parent company’s tradition of delivering precise and prompt analytic services with exceptional quality to clients in the semiconductor industry, positioning ourselves as the premier R&D partner in this sector. Our core service is Transmission Electron Microscopy (TEM) analysis, which provides comprehensive structural (TEM/STEM imaging modes), chemical (EDS), and dimensional (auto CD measurements) information on materials of interest. Leveraging our proprietary and patented sample protection strategy, along with advanced FIB sample preparation techniques, we offer accurate TEM analysis for both hard and fragile materials used in cutting-edge technology developments, such as low-k dielectrics and EUV photoresists. This specialized analytic method furnishes R&D engineers with crucial insights, accelerating their development processes. We recognize that the protection of proprietary information (PIP) is of utmost importance. MSS USA adheres to the same rigorous PIP control procedures as its parent company, which has earned the trust and recognition of numerous world-renowned semiconductor companies. Every piece of information, including provided materials, samples, data, and analytic history, is meticulously recorded, securely stored, and robustly protected. MSS USA remains a trusted R&D metrology partner for companies that prioritize the safeguarding of their proprietary information. By expanding into the US market, we bring our expertise closer to our clients, enhancing collaboration and fostering innovation across the semiconductor industry.
Onyx Healthcare USA is a subsidiary of the ASUS Computer Group that has been providing innovative and medically certified (CE/FCC Class B,UL/EN60601, CSA) healthcare computing solutions to assist workflows in operating suites, nursing stat ions, patient wards, ambulatory care, and hospital administrations worldwide. Onyx Healthcare USA, Inc., with 15+ years of medical design experiences, leverages embedded computing technology to design and manufacture medical grade (UL60601-1) fanless all-in-one panel system platforms and embedded boards as the building blocks to medical device OEM and healthcare IT business.
At Polaris Electro-Optics, Inc., we believe that overcoming society’s greatest challenges requires mastery of the creation, movement, and use of information. We are mastering the movement of information by leveraging patented material and design innovations to offer the highest-speed, most energy efficient integrated photonics products to the communications and computation industries. Our goal is to define the standard for moving information. We work hard in a collaborative, cross-functional team environment, and value mutual trust and respect built on a foundation of integrity, transparency, consistency, and humility. Additional information about Polaris is available at www.PolarisEO.com.
PathCision Medicine is a biopharmaceutical startup using tissue pathology data to develop novel precision medicine for metastatic cancer and other diseases. Our proprietary AI drug discovery engine deciphers how diseases interact within the tissue microenvironment, and we integrate advanced patient multi-omic data to ensure clinical translatability. The first asset that emerged from this engine can home into tumors and avoid healthy tissue – limiting toxicity while increasing efficacy. We are now building version 2 of the discovery engine to increase the machine learning component and are seeking to grow our team with additional machine learning engineers.
PharmaEssentia is a global biopharmaceutical company founded in 2003 by Taiwanese-American executives and scientists. Its mission is to develop innovative therapies for serious diseases Global Footprint & Facilities Headquarters: Taipei, Taiwan U.S. Hub: Bedford, Massachusetts, home to the PharmaEssentia Innovation Research Center (PIRC), which focuses on drug discovery for rare cancers Manufacturing: A world-class biologics facility in Taichung, Taiwan, certified by the TFDA and compliant with U.S. FDA and EMA standards
Syncell is a life science technology company providing unique solutions to next-generation proteomics, unbiased, deep, spatially precise, highly sensitive, and highly specific all in one. Established in 2020, Syncell quickly launched its first Microscoop® platform Microscoop Mint and proprietary reagents Synlight™ and Synpull™ in 2024 to fill the gap of high-precision microscopy-guided proteomic discovery. The technology was designed to address the pain points of biological researchers in breadth, enabling microscopy-guided spatial protein purification and proteomic discovery at any visually recognizable regions of interest. Our commercial team is working tightly with the customers, and together with the R&D and production teams to maximize our customer’s success in discovering key protein players for specific problems of interest.
Taboola (a Nasdaq company) powers recommendations for the open web, helping people discover things they may like. The company’s platform, powered by artificial intelligence, is used by digital properties, including websites, devices and mobile apps, to drive monetization and user engagement. Taboola has long-term partnerships with some of the top digital properties in the world, including Yahoo, CNBC, BBC, NBC News, Business Insider, The Independent and El Mundo. Around 18,000 advertisers use Taboola to reach nearly 600 million daily active users in a brand-safe environment. Taboola is a leader in powering e-commerce recommendations, driving more than 1 million monthly transactions, with leading brands including Walmart, Macy’s, Skechers and eBay among key customers.
Tachyum is a fabless semiconductor company developing the world’s first Universal Processor, Prodigy, which unifies the functionality of CPU, GPGPU, and TPU into a single monolithic device, delivering unprecedented performance, power efficiency, and TCO reduction for a wide range of applications and workloads, including cloud AI, and HPC. Prodigy’s revolutionary architecture solves key issues that are plaguing today’s data centers, including high power consumption and low server utilization. With Prodigy, hyperscale data centers can run cloud workloads during peak hours and AI workloads during off hours, keeping servers running 24/7. Prodigy eliminates the need for costly and power-hungry accelerators, enabling high performance data centers to be deployed with a homogeneous architecture, enabling a simple software model and easy, straightforward maintenance. Tachyum has approximately 100 employees with engineering teams in the Silicon Valley, Slovakia, the Czech Republic, and the corporate office in Nevada, Las Vegas.
Vizuro is an innovator and solution provider of Multimodal, Causal AI with its powerful applications in diverse sectors. We utilize our proprietary self-learning, explainable and actionable AI on a managed, data-science-as-a-service platform to quickly deploy bespoke applications in an expedited timeframe. We serve global clients in various sectors and sizes, ranging from Fortune 100 enterprises to startups
AcuraStem is a pre-clinical stage, patient-focused biotechnology company translating cutting-edge science into transformative therapies for neurodegenerative diseases. By combining proprietary iPSC-based disease modeling with a deep commitment to rigorous science, AcuraStem is building a pipeline of precision medicines with the goal of bringing new hope to patients afflicted with devastating diseases. Our translational approach integrates human-based discovery, biomarker development, and therapeutic advancement, enabling a direct path from bench to bedside. We are a team of curious, driven, and collaborative scientists who value high integrity, quality data, and reproducibility. At AcuraStem, every experiment contributes to our mission of accelerating therapies into the clinic.
Apeximmune Therapeutics is pioneering a new generation of therapeutic antibodies and biologics that harness the power of the immune system to deliver curative treatments for cancer and autoimmune disease. We leverage our target discovery and validation platform to uncover proprietary insights into novel immune modulating targets and pathways, to which we develop drug candidates designed to either enhance or subdue immune function for therapeutic effect. We are driven by the potential to positively impact human life with meaningful medicines, while always being guided by the biology and rigorous science. The Apeximmune team encompasses expertise in immunology, cellular and molecular tumor biology, antibody generation, protein characterization and engineering, and the regulatory process.
Altechna R&D, brand name Workshop of Photonics (WOP) is a Lithuanian-based high-tech company specializing in femtosecond laser micromachining, with over two decades of experience in delivering ultra-precise solutions for industrial and scientific applications. The company is renowned for its expertise in glass processing, transparent materials, and custom laser system development.
Chain Reaction (https://www.chain-reaction.io/) is engineering the future of disruptive blockchain and privacy technologies. We accelerate compute performance, enabling companies to adopt and scale solutions to the world’s most complex problems. Partnering with cloud and data centers, we transform compute infrastructure with custom ASICs and systems that optimize for energy efficient, high-performance compute. Our 3PU™ (Privacy Processor) dramatically accelerates real-time operations of Privacy Enhancing Technologies on encrypted data, transforming the cloud into a trusted environment, enabling verticals that rely on confidential big data to use the cloud (including financial institutions, healthcare & big pharma, defense & government, and oil & gas). Purpose-built and custom-designed, our solutions power the next generation of secure, scalable, green computing to help protect people, privacy, and the planet.
Cellentia is leveraging cancer organoids to identify drugs that can cure metastatic cancers. We are specialized in bioassays using patient-derived cancer organoids.
Based in San Diego, Kneron Inc. is a start-up dedicated to local/edging AI solutions. Kneron was the winner of Tengfei Award by Tencent and won the third place in Innovation Competition of International Talents, Silicon Valley Division.
We are an AI biotech company focused on developing small molecule therapeutics in the immunology space. Our platform is a ligand-based large language model, which currently can inference >5B synthesizable compounds.
MSS USA CORP, established in May 2024, is a subsidiary of MSSCORPS CO., LTD. We uphold our parent company’s tradition of delivering precise and prompt analytic services with exceptional quality to clients in the semiconductor industry, positioning ourselves as the premier R&D partner in this sector. Our core service is Transmission Electron Microscopy (TEM) analysis, which provides comprehensive structural (TEM/STEM imaging modes), chemical (EDS), and dimensional (auto CD measurements) information on materials of interest. Leveraging our proprietary and patented sample protection strategy, along with advanced FIB sample preparation techniques, we offer accurate TEM analysis for both hard and fragile materials used in cutting-edge technology developments, such as low-k dielectrics and EUV photoresists. This specialized analytic method furnishes R&D engineers with crucial insights, accelerating their development processes. We recognize that the protection of proprietary information (PIP) is of utmost importance. MSS USA adheres to the same rigorous PIP control procedures as its parent company, which has earned the trust and recognition of numerous world-renowned semiconductor companies. Every piece of information, including provided materials, samples, data, and analytic history, is meticulously recorded, securely stored, and robustly protected. MSS USA remains a trusted R&D metrology partner for companies that prioritize the safeguarding of their proprietary information. By expanding into the US market, we bring our expertise closer to our clients, enhancing collaboration and fostering innovation across the semiconductor industry.
Onyx Healthcare USA is a subsidiary of the ASUS Computer Group that has been providing innovative and medically certified (CE/FCC Class B,UL/EN60601, CSA) healthcare computing solutions to assist workflows in operating suites, nursing stat ions, patient wards, ambulatory care, and hospital administrations worldwide. Onyx Healthcare USA, Inc., with 15+ years of medical design experiences, leverages embedded computing technology to design and manufacture medical grade (UL60601-1) fanless all-in-one panel system platforms and embedded boards as the building blocks to medical device OEM and healthcare IT business.
At Polaris Electro-Optics, Inc., we believe that overcoming society’s greatest challenges requires mastery of the creation, movement, and use of information. We are mastering the movement of information by leveraging patented material and design innovations to offer the highest-speed, most energy efficient integrated photonics products to the communications and computation industries. Our goal is to define the standard for moving information. We work hard in a collaborative, cross-functional team environment, and value mutual trust and respect built on a foundation of integrity, transparency, consistency, and humility. Additional information about Polaris is available at www.PolarisEO.com.
PathCision Medicine is a biopharmaceutical startup using tissue pathology data to develop novel precision medicine for metastatic cancer and other diseases. Our proprietary AI drug discovery engine deciphers how diseases interact within the tissue microenvironment, and we integrate advanced patient multi-omic data to ensure clinical translatability. The first asset that emerged from this engine can home into tumors and avoid healthy tissue – limiting toxicity while increasing efficacy. We are now building version 2 of the discovery engine to increase the machine learning component and are seeking to grow our team with additional machine learning engineers.
PharmaEssentia is a global biopharmaceutical company founded in 2003 by Taiwanese-American executives and scientists. Its mission is to develop innovative therapies for serious diseases Global Footprint & Facilities Headquarters: Taipei, Taiwan U.S. Hub: Bedford, Massachusetts, home to the PharmaEssentia Innovation Research Center (PIRC), which focuses on drug discovery for rare cancers Manufacturing: A world-class biologics facility in Taichung, Taiwan, certified by the TFDA and compliant with U.S. FDA and EMA standards
Syncell is a life science technology company providing unique solutions to next-generation proteomics, unbiased, deep, spatially precise, highly sensitive, and highly specific all in one. Established in 2020, Syncell quickly launched its first Microscoop® platform Microscoop Mint and proprietary reagents Synlight™ and Synpull™ in 2024 to fill the gap of high-precision microscopy-guided proteomic discovery. The technology was designed to address the pain points of biological researchers in breadth, enabling microscopy-guided spatial protein purification and proteomic discovery at any visually recognizable regions of interest. Our commercial team is working tightly with the customers, and together with the R&D and production teams to maximize our customer’s success in discovering key protein players for specific problems of interest.
Taboola (a Nasdaq company) powers recommendations for the open web, helping people discover things they may like. The company’s platform, powered by artificial intelligence, is used by digital properties, including websites, devices and mobile apps, to drive monetization and user engagement. Taboola has long-term partnerships with some of the top digital properties in the world, including Yahoo, CNBC, BBC, NBC News, Business Insider, The Independent and El Mundo. Around 18,000 advertisers use Taboola to reach nearly 600 million daily active users in a brand-safe environment. Taboola is a leader in powering e-commerce recommendations, driving more than 1 million monthly transactions, with leading brands including Walmart, Macy’s, Skechers and eBay among key customers.
Tachyum is a fabless semiconductor company developing the world’s first Universal Processor, Prodigy, which unifies the functionality of CPU, GPGPU, and TPU into a single monolithic device, delivering unprecedented performance, power efficiency, and TCO reduction for a wide range of applications and workloads, including cloud AI, and HPC. Prodigy’s revolutionary architecture solves key issues that are plaguing today’s data centers, including high power consumption and low server utilization. With Prodigy, hyperscale data centers can run cloud workloads during peak hours and AI workloads during off hours, keeping servers running 24/7. Prodigy eliminates the need for costly and power-hungry accelerators, enabling high performance data centers to be deployed with a homogeneous architecture, enabling a simple software model and easy, straightforward maintenance. Tachyum has approximately 100 employees with engineering teams in the Silicon Valley, Slovakia, the Czech Republic, and the corporate office in Nevada, Las Vegas.
Vizuro is an innovator and solution provider of Multimodal, Causal AI with its powerful applications in diverse sectors. We utilize our proprietary self-learning, explainable and actionable AI on a managed, data-science-as-a-service platform to quickly deploy bespoke applications in an expedited timeframe. We serve global clients in various sectors and sizes, ranging from Fortune 100 enterprises to startups
須有等同托福 iBT(Internet-Based TOEFL)測驗成績 89 分以上的能力。獲選學者在出發前須提供托福成績證明。博士學位在英語國家獲得者不在此限。
【甄選資訊】
LEAP@BERKELEY與加州大學柏克萊分校工學院合作,本計畫每年將選送4名具創新創業企圖心之人才赴加州大學柏克萊分校工學院,包含以下申請類別:
A) 2名「台灣-柏克萊醫療器材產品設計之人才培訓計畫」(Berkeley-Taiwan Biomedical Fellowship Program;簡稱BTB),赴加州大學柏克萊分校工學院接受為期一年之的高階醫療器材設計及商業化實務訓練。歡迎有意願投入醫療器材設計領域者,踴躍報名申請。
B) 2名具產業技術研發能力以及創新創業企圖心之人才赴加州大學柏克萊分校工學院,接受為期一年之研習技術商業化知識與實務訓練。
加州大學柏克萊分校會依入選者之領域專長背景分類,並安排工學院內相關領域實驗室資源研習及教授專家指導。(請參考加州大學柏克萊分校工學院官網:http://engineering.berkeley.edu/)
英文能力證明:提供英文能力測驗成績證明尤佳(TOEFL iBT或IELTS)。
甄選方式
1.【書面初審】
就申請人所上傳之書面申請資料,由評選委員會進行書審,評選出合格申請者。
2.【複選面試】
由柏克萊大學評審委員會決定進入複選面試人員,再經由評選委員會以英文進行面試,從中選出符合受訓資格之人員前往美國加州大學柏克萊分校接受培訓。
【甄選資訊 】
LEAP@Duke 與杜克大學合作,本計畫將選送 2 名具產業技術研發能力以及創新創業企圖心之博士級人才,接受為期一年人工智慧 (AI) 於健康醫療領域之深度研究。
The focus of the LEAP@Duke program is bridging mathematics, statistics and medicine for biomedical signal processing and providing a concrete artificial intelligence solution for one specific problem in healthcare. The candidates are encouraged to bring their own clinical problem, database, preliminary research result, or even prototype. They will stay in Duke University for one year. In addition to finding team members to implement the solution, the candidates are encouraged to participate in the research, the collaboration in hospitals and industrial activities in the Research Triangle.
申請資格:
Applicants should have either a medical degree, or a PhD degree in computer science, electrical engineering, statistics or applied mathematics.
1. 申請人須有醫療資訊或程式語言設計相關背景知識,具備生理時間序列訊號分析經驗者尤佳。
2. 申請人具有(1)應用數學、統計、電機、資工、醫工所和醫療相關科系 (如復健科系)博士學位(Ph.D)、等同學歷或博士班將畢業。
或(2)各醫院醫師MD,對各式生理監視系統有強烈興趣者尤佳。
培訓內容:
1. 內容與比例
(1) 定期與LEAP@Duke教授討論且執行智慧生理監視系統之專案開發(60%)。
(2) 參與創投及創業相關活動(20%)。
(3) 參與Duke合作實驗室的weekly seminar、Lab group meeting與校內學術相關活動(20%)。
2. 期間有機會參與美國其他大學 (如耶魯大學、普林斯頓大學與史丹佛大學)的學術交流活動。
3. 學員完成一年培訓後,預期做出prototype,例如加護病房的智慧精準預測系統,手術房的麻醉血行動力學精準監視系統,居家睡眠精準調控系統,及其他(鼓勵學員自帶題目)。
【甄選資訊】
一、簡介
為使台灣於全球數位醫療產業能具備領先地位,LEAP@MGH計畫每年選派2-3位人才赴美國波士頓-麻州總醫院電腦科學實驗室(MGH, Laboratory of Computer Science),接受為期一年的智慧醫療及商業化實務培訓。大波士頓地區擁有世界知名學府和醫學中心,結合高科技核心和密集的醫學研究能量,培育學員參與當地新創事業加速器、商業創業競賽、Hackathon及向創投學習機會,發展智慧醫療創新技術並尋求創業機會。
培訓內容及比例:參與哈佛醫學院及MIT史隆管理學院之生醫資訊及創業發展課程(20%)、於麻州總醫院電腦科學實驗室(MGH, LCS)執行智慧醫療及臨床資訊之專案開發(60%)、參與創投及創業相關活動(20%)。
二、申請資格
1. 學經歷:申請人須有醫療資訊或程式語言設計相關背景知識或智慧醫療領域專長與創業經驗,具備博士學位Ph.D., M.D.或等同學歷尤佳。
2. 英文能力證明:須提供英文能力測驗成績證明。
三、報名時間
四、甄選方式
1. 【書面資料初選】
以申請人所繳交之申請資料進行資格審核,由評選委員初步評選出合格申請者進入複選。
2. 【複選面試】
進入複選者,由哈佛大學/麻州總醫院之評選委員進行英文面試,從中選出符合受訓資格之人員前往美國波士頓接受為期一年的培訓。
【甄選資訊 】
為促進「健康數據分析 (Health Data Analytics)」領域之研究,本計畫與麻省理工學院 (MIT) 醫學工程與科學研究所 (Institute for Medical Engineering and Science , IMES) 合作展開博士後人員交流計畫,將選送數名國內優秀之博士後研究學者赴IMES為期一年,參與醫療資訊分析領域的研究計畫,合作實驗室包括運算生理實驗室 (Laboratory for Computational Physiology)、整合神經監測及重症醫學資訊實驗室 (Integrative Neuromonitoring and Critical Care Informatics Group)、臨床機器學習實驗室 (Clinical Machine Learning Group) 等。
IMES成立於2012年,為MIT所屬專責先進醫療器材與產品的創新研究與開發研究所,其任務之一為提升美國醫療保健的價值,並試圖為愈趨高漲的醫療成本解套,為美國少數在第一線解決臨床醫學所面臨各式挑戰的醫學研究機構。IMES在工程、科學、臨床醫學等領域結合了研究工作與教育推廣,藉由與當地醫療院所的密切合作與利用創新醫療科學技術,以促進人類的健康福祉。
申請資格
(1). Applicants have Ph.D. degree or M.D. degree with significant data analytics, statistical, or programming experience.
(2). Candidates have training or experience in Medicine and/or Computer Science/Engineering is preferred.
申請方式
Step 1: Submit a complete application online.
The application consists of:
-Personal statement of purpose (maximum 2 pages), including an indication of --preferred host laboratory (may option more than one lab, but must have a supporting argument for each).
-Curriculum Vitae, including links to relevant research papers and/or theses.
-Academic transcript.
-Proof of doctoral degree (if not part of the transcript)
-Two or more Letters of Reference.
Step 2: IMES faculty and staff will review applicants and select candidates for personal interviews. Candidates will be assessed based on the following criteria:
-Evidence of academic excellence (courses, grades)
-Evidence of research productivity
-Reference letters
-The applicant’s statement of purpose
-Evidence of proficiency in spoken and written English
-Synergy between the training and goals of the applicant and the research priorities of the IMES laboratory
【甄選資訊】
每梯次LEAP@STANFORD將甄選4名赴史丹佛大學化學工程學系進行科技創新發展訓練。入選的LEAP@STANFORD學者在培訓期間,將透過實務訓練,及不同領域的跨界學習,瞭解創新價值,進而加速從理論至商品化的契機。入選的學者並會依據其專長、興趣及發展需求安排進入化工系內相關領域實驗室研習及接受教授專家的指導合作。
本計畫的特色為著重跨領域及跨實驗室的合作,藉以深化人脈的連結以及產學合作及創業的未來潛力,LEAP@STANFORD 學者可參與媒合的實驗室的研究工作, 史丹佛大學提供的課程與會議,定期與LEAP@STANFORD教授討論,並鼓勵加入創新創業社群活動。
一. 申請資格
1. 學經歷:(1)具有化工、醫工 材料、化學、物理 生物及相關領域之博士學位者(Ph.D.);(2)具有醫學系學位(M.D.) 且有三年以上工作經驗及可茲證明其研究專長的文件,如獲得重要創新獎項,主要專利發明人或重要期刊論文之主要作者等;或(3)具有化工、醫工、材料、化學、物理、生物及相關領域之碩士學位者,且有三年以上工作經驗及可茲證明其研究專長的文件,如獲得重要創新獎項,主要專利發明人或重要期刊論文之主要作者等。
2. 英語能力證明:須有等同托福iBT (Internet-Based TOEFL) 測驗成績89分以上的能力。獲選學者在出發前須提供托福成績證明。博士學位在英語國家獲得者不在此限。
二. 評選標準與過程
1. 【書面初審】
就申請人所上傳之書面申請資料,由評選委員進行書面資格審核,評選出合格申請者。所附資料應包括完整履歷及簡要說明申請本計畫預期達成目標與未來生涯規劃的相關性。
2. 【躍升培訓營】完成報名且符合徵選資格之候選學員方獲得參與本計畫辦理之躍升培訓營資格,候選學員應全程參與躍升培訓營,於活動期間建立創新創業人脈、學習創業規劃、溝通及簡報技巧,並與企業先進交流互動。確切時程依本計畫辦公室公告為主。
3.【複選面試】
初審通過人員皆須依規定繳交複審資料予史丹佛大學進行書審複審,由評審委員決定進入複選面試人員,再經由評選委員會進行英文面試。
主要遴選標準包括
-學術專業表現(scholarly achievements)
-轉譯研究之學習動機 (motivation for translational research)
-創新創業之高度熱誠(strong interest in entrepreneurship)
-在跨領域與多元文化之學習能力(ability to function in a multi-disciplinary, multi-cultural environment)
-研究領域媒合度(matched interests and goals).
相關研究領域可包括奈米科學 nanoscience, 替代能源alternative energy, 表面化學surface science, 介面工程interfacial engineering, 光觸媒photocatalysis, 軟性材料soft materials, 高分子科學(實驗及理論計算) polymer science and simulation, 流變學rheology, 流體力學fluidic mechanics, 微流道學microfluidics, 有機電子organic electronics, 生物材料biomaterials, 組織工程tissue engineering, 生物力學mechanobiology, 細胞生物cell biology, 腫瘤生物學cancer biology, 幹細胞生物學stem cell biology 及其他相關應用科學。 欲申請者亦可參考化工系網頁:https://cheme.stanford.edu/research
三. 報名時間:2020/04/01~2020/04/30
【甄選資訊】
LEAP@BERKELEY與加州大學柏克萊分校工學院合作,本計畫每年將選送4名具創新創業企圖心之人才赴加州大學柏克萊分校工學院,包含以下申請類別:
A) 2名「台灣-柏克萊醫療器材產品設計之人才培訓計畫」(Berkeley-Taiwan Biomedical Fellowship Program;簡稱BTB),赴加州大學柏克萊分校工學院接受為期一年之的高階醫療器材設計及商業化實務訓練。歡迎有意願投入醫療器材設計領域者,踴躍報名申請。
B) 2名具產業技術研發能力以及創新創業企圖心之人才赴加州大學柏克萊分校工學院,接受為期一年之研習技術商業化知識與實務訓練。
加州大學柏克萊分校會依入選者之領域專長背景分類,並安排工學院內相關領域實驗室資源研習及教授專家指導。(請參考加州大學柏克萊分校工學院官網:http://engineering.berkeley.edu/)
英文能力證明:提供英文能力測驗成績證明尤佳(TOEFL iBT或IELTS)。
甄選方式
1.【書面初審】
就申請人所上傳之書面申請資料,由評選委員會進行書審,評選出合格申請者。
2.【複選面試】
由柏克萊大學評審委員會決定進入複選面試人員,再經由評選委員會以英文進行面試,從中選出符合受訓資格之人員前往美國加州大學柏克萊分校接受培訓。
【甄選資訊 】
LEAP@Duke 與杜克大學合作,本計畫將選送 2 名具產業技術研發能力以及創新創業企圖心之博士級人才,接受為期一年人工智慧 (AI) 於健康醫療領域之深度研究。
The focus of the LEAP@Duke program is bridging mathematics, statistics and medicine for biomedical signal processing and providing a concrete artificial intelligence solution for one specific problem in healthcare. The candidates are encouraged to bring their own clinical problem, database, preliminary research result, or even prototype. They will stay in Duke University for one year. In addition to finding team members to implement the solution, the candidates are encouraged to participate in the research, the collaboration in hospitals and industrial activities in the Research Triangle.
申請資格:
Applicants should have either a medical degree, or a PhD degree in computer science, electrical engineering, statistics or applied mathematics.
1. 申請人須有醫療資訊或程式語言設計相關背景知識,具備生理時間序列訊號分析經驗者尤佳。
2. 申請人具有(1)應用數學、統計、電機、資工、醫工所和醫療相關科系 (如復健科系)博士學位(Ph.D)、等同學歷或博士班將畢業。
或(2)各醫院醫師MD,對各式生理監視系統有強烈興趣者尤佳。
培訓內容:
1. 內容與比例
(1) 定期與LEAP@Duke教授討論且執行智慧生理監視系統之專案開發(60%)。
(2) 參與創投及創業相關活動(20%)。
(3) 參與Duke合作實驗室的weekly seminar、Lab group meeting與校內學術相關活動(20%)。
2. 期間有機會參與美國其他大學 (如耶魯大學、普林斯頓大學與史丹佛大學)的學術交流活動。
3. 學員完成一年培訓後,預期做出prototype,例如加護病房的智慧精準預測系統,手術房的麻醉血行動力學精準監視系統,居家睡眠精準調控系統,及其他(鼓勵學員自帶題目)。
【甄選資訊】
一、簡介
為使台灣於全球數位醫療產業能具備領先地位,LEAP@MGH計畫每年選派2-3位人才赴美國波士頓-麻州總醫院電腦科學實驗室(MGH, Laboratory of Computer Science),接受為期一年的智慧醫療及商業化實務培訓。大波士頓地區擁有世界知名學府和醫學中心,結合高科技核心和密集的醫學研究能量,培育學員參與當地新創事業加速器、商業創業競賽、Hackathon及向創投學習機會,發展智慧醫療創新技術並尋求創業機會。
培訓內容及比例:參與哈佛醫學院及MIT史隆管理學院之生醫資訊及創業發展課程(20%)、於麻州總醫院電腦科學實驗室(MGH, LCS)執行智慧醫療及臨床資訊之專案開發(60%)、參與創投及創業相關活動(20%)。
二、申請資格
1. 學經歷:申請人須有醫療資訊或程式語言設計相關背景知識或智慧醫療領域專長與創業經驗,具備博士學位Ph.D., M.D.或等同學歷尤佳。
2. 英文能力證明:須提供英文能力測驗成績證明。
三、報名時間
四、甄選方式
1. 【書面資料初選】
以申請人所繳交之申請資料進行資格審核,由評選委員初步評選出合格申請者進入複選。
2. 【複選面試】
進入複選者,由哈佛大學/麻州總醫院之評選委員進行英文面試,從中選出符合受訓資格之人員前往美國波士頓接受為期一年的培訓。
【甄選資訊 】
為促進「健康數據分析 (Health Data Analytics)」領域之研究,本計畫與麻省理工學院 (MIT) 醫學工程與科學研究所 (Institute for Medical Engineering and Science , IMES) 合作展開博士後人員交流計畫,將選送數名國內優秀之博士後研究學者赴IMES為期一年,參與醫療資訊分析領域的研究計畫,合作實驗室包括運算生理實驗室 (Laboratory for Computational Physiology)、整合神經監測及重症醫學資訊實驗室 (Integrative Neuromonitoring and Critical Care Informatics Group)、臨床機器學習實驗室 (Clinical Machine Learning Group) 等。
IMES成立於2012年,為MIT所屬專責先進醫療器材與產品的創新研究與開發研究所,其任務之一為提升美國醫療保健的價值,並試圖為愈趨高漲的醫療成本解套,為美國少數在第一線解決臨床醫學所面臨各式挑戰的醫學研究機構。IMES在工程、科學、臨床醫學等領域結合了研究工作與教育推廣,藉由與當地醫療院所的密切合作與利用創新醫療科學技術,以促進人類的健康福祉。
申請資格
(1). Applicants have Ph.D. degree or M.D. degree with significant data analytics, statistical, or programming experience.
(2). Candidates have training or experience in Medicine and/or Computer Science/Engineering is preferred.
申請方式
Step 1: Submit a complete application online.
The application consists of:
-Personal statement of purpose (maximum 2 pages), including an indication of --preferred host laboratory (may option more than one lab, but must have a supporting argument for each).
-Curriculum Vitae, including links to relevant research papers and/or theses.
-Academic transcript.
-Proof of doctoral degree (if not part of the transcript)
-Two or more Letters of Reference.
Step 2: IMES faculty and staff will review applicants and select candidates for personal interviews. Candidates will be assessed based on the following criteria:
-Evidence of academic excellence (courses, grades)
-Evidence of research productivity
-Reference letters
-The applicant’s statement of purpose
-Evidence of proficiency in spoken and written English
-Synergy between the training and goals of the applicant and the research priorities of the IMES laboratory
【甄選資訊】
每梯次LEAP@STANFORD將甄選4名赴史丹佛大學化學工程學系進行科技創新發展訓練。入選的LEAP@STANFORD學者在培訓期間,將透過實務訓練,及不同領域的跨界學習,瞭解創新價值,進而加速從理論至商品化的契機。入選的學者並會依據其專長、興趣及發展需求安排進入化工系內相關領域實驗室研習及接受教授專家的指導合作。
本計畫的特色為著重跨領域及跨實驗室的合作,藉以深化人脈的連結以及產學合作及創業的未來潛力,LEAP@STANFORD 學者可參與媒合的實驗室的研究工作, 史丹佛大學提供的課程與會議,定期與LEAP@STANFORD教授討論,並鼓勵加入創新創業社群活動。
一. 申請資格
1. 學經歷:(1)具有化工、醫工 材料、化學、物理 生物及相關領域之博士學位者(Ph.D.);(2)具有醫學系學位(M.D.) 且有三年以上工作經驗及可茲證明其研究專長的文件,如獲得重要創新獎項,主要專利發明人或重要期刊論文之主要作者等;或(3)具有化工、醫工、材料、化學、物理、生物及相關領域之碩士學位者,且有三年以上工作經驗及可茲證明其研究專長的文件,如獲得重要創新獎項,主要專利發明人或重要期刊論文之主要作者等。
2. 英語能力證明:須有等同托福iBT (Internet-Based TOEFL) 測驗成績89分以上的能力。獲選學者在出發前須提供托福成績證明。博士學位在英語國家獲得者不在此限。
二. 評選標準與過程
1. 【書面初審】
就申請人所上傳之書面申請資料,由評選委員進行書面資格審核,評選出合格申請者。所附資料應包括完整履歷及簡要說明申請本計畫預期達成目標與未來生涯規劃的相關性。
2. 【躍升培訓營】完成報名且符合徵選資格之候選學員方獲得參與本計畫辦理之躍升培訓營資格,候選學員應全程參與躍升培訓營,於活動期間建立創新創業人脈、學習創業規劃、溝通及簡報技巧,並與企業先進交流互動。確切時程依本計畫辦公室公告為主。
3.【複選面試】
初審通過人員皆須依規定繳交複審資料予史丹佛大學進行書審複審,由評審委員決定進入複選面試人員,再經由評選委員會進行英文面試。
主要遴選標準包括
-學術專業表現(scholarly achievements)
-轉譯研究之學習動機 (motivation for translational research)
-創新創業之高度熱誠(strong interest in entrepreneurship)
-在跨領域與多元文化之學習能力(ability to function in a multi-disciplinary, multi-cultural environment)
-研究領域媒合度(matched interests and goals).
相關研究領域可包括奈米科學 nanoscience, 替代能源alternative energy, 表面化學surface science, 介面工程interfacial engineering, 光觸媒photocatalysis, 軟性材料soft materials, 高分子科學(實驗及理論計算) polymer science and simulation, 流變學rheology, 流體力學fluidic mechanics, 微流道學microfluidics, 有機電子organic electronics, 生物材料biomaterials, 組織工程tissue engineering, 生物力學mechanobiology, 細胞生物cell biology, 腫瘤生物學cancer biology, 幹細胞生物學stem cell biology 及其他相關應用科學。 欲申請者亦可參考化工系網頁:https://cheme.stanford.edu/research
三. 報名時間:2020/04/01~2020/04/30