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clot contraction, blood flow, and thrombus stability across biological scales. Research Programme Description ThromboRisk – European Doctoral Network From cells to systems: Pioneering multi-level
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the requirements for admission to the faculty's Doctoral Programme Excellent oral and written presentation skills in English (equivalent to level B2) Excellent reading skills in the languages of both
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the university and with industry to translate discoveries into clinical proof of concept studies. Working with a team led by Drs. H. Kim Lyerly, Zachary Hartman and Josh Snyder, this program spans basic discovery
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on this project have been admitted to prestigious PhD programs at New York University and Imperial College London. The Research Assistant will benefit from extensive mentoring from the Project Leader and his
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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will be embedded in the Computational Mechanics (Legato ) group and enrolled in the Doctoral Programme in Complex Systems Science. Depending on background and interests, the PhD may include: Development
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London School of Economics and Political Science; | London, England | United Kingdom | about 14 hours ago
needed Essential Criteria Undergraduate or Master’s degree in Economics or another quantitative discipline, to be completed or close to completion by post start date. Advanced programming skills in R and
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personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute
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technology development. Why become a KTP Associate? The KTP programme is designed to accelerate your career, expand your skills, and grow your professional network. You will have the opportunity to: Work on a
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text