198 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" research jobs at Harvard University
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for postdoctoral appointments who plan to work on AI existential safety research. FIL defines AI existential safety research as: a) research that analyzes the most probable ways in which AI technology could cause
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for candidates interested in developmental, stem cell, neuro, computational biology, genetics or genomics. Basic Qualifications The candidate should have a PhD or plan to defend their PhD in the coming year
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Fellows: Rubin Lab The Rubin lab in Harvard’s Department of Stem Cell and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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his bioengineering lab are seeking a highly motivated postdoctoral researcher with a strong background in neuroscience. The ideal candidate will have extensive training in their Ph.D. program and be
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Affairs at Harvard University: Fellowships Deadline Month: January, December Description: The Center's programs and projects offer a variety of both pre-doctoral and post-doctoral research fellowships in
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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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Fellowship program offers comprehensive research, training and professional development opportunities for scholars advancing their careers in history. Fellows pursue their research with support from
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in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch