763 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Harvard University
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ What you’ll do: Independently
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: This is a 12-month, full-time position with benefits. Visas may be arranged. You can find more information on benefits for Harvard employees here: https://hr.harvard.edu/health-welfare-benefits. Basic
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Jobs About Harvard University Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University
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current with training requirements related to human subject's research and data security. This job is ideal for someone with enthusiasm for empirical research and the ability and interest to learn new
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
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technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and human data, and a new emphasis on the importance
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opportunity to shape the future of medicine. Job Description Chirag Patel's group is seeking a Data Scientist with a focus on engineering and/or, mulit-omic integration analytics, machine learning, and AI
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development. More information about the lab and specific research areas can be found at https://sites.harvard.edu/zheng/. We welcome applications from recent chemistry or chemical biology PhD graduates with
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computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through