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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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or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Machine learning skills; Writing papers for management and
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inequality? How do large-scale upheavals shape our collective identities and narratives? More information is available here . We especially encourage candidates with proven experience in applying computational
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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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Details Title Postdoctoral Fellow - Molecular Robotics School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss: The Wyss Institute’s mission is to transform healthcare and the environment by emulating the way nature builds. We harness the...
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Details Title Postdoctoral Fellow in Bioinspired Materials for Gas Sensing School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Material Science & Mechanical Engineering Position Description The Aizenberg Lab at Harvard University is seeking a postdoctoral...
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. Basic Qualifications A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment. Additional Qualifications Special Instructions To apply, please submit the following
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/Watabe-Uchida laboratory at Harvard University to study the neural mechanism of decision-making. We seek an individual from a various background with an interest in animal behavior, computation 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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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research