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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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approaches such as digital technology or task-sharing for scale-up of proven interventions. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those
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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. Contact Information: Professor
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at Harvard. For further information, please contact ydu@seas.harvard.edu. Basic Qualifications PhD in Computer Science, Electrical Engineering, Mechanical Engineering or a closely related field Additional
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welcome applications from recent PhD graduates interested in this field. The successful candidate will work to develop an independent research project within the scope of the lab’s research focus. In
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welcome applications from recent PhD graduates interested in this field. The successful candidate will work to develop an independent research project within the scope of the lab’s research focus. In
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welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new perspective or new technological expertise to bear on the work in the lab
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proteins important in human health and disease, including G protein-coupled receptors and other transmembrane proteins. We welcome applications from recent PhD graduates who are interested in
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our lab. Potential applications of interest include artificial extracellular matrices for regenerative medicine, breadboards for localized molecular computing, and nanophotonic devices. Present
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Excellence | Respect | Courage | Integrity The Intelligence Community (IC) Postdoctoral Research Fellowship Program (IC Postdoc Program) was established in 2000 to support unclassified basic