113 computer-programmer-"https:"-"FEMTO-ST"-"https:"-"https:"-"https:" Fellowship positions at Harvard University
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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computational biology, or related fields. Additional Qualifications Special Instructions Do not contact PI. Any questions can be directed to David Lucas at the email address below. Contact Information David Lucas
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. Some areas of particular interest include: genetics, evolutionary biology, neurobiology, developmental biology, and stem cell biology. Our lab uses both experimental and computational approaches
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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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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of developmental and/or regenerative neurobiology, neuronal cell biology, and/or nervous system disease involving the cerebral cortex to join an ongoing research program focusing on the developmental, degenerative
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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Asian context. Applications will be collected via ARIeS and will contain: A five-page, double-spaced research plan. An updated and current curriculum vitae, which lists your academic degrees (including
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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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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring