44 computer-programmer-"the"-"U.S"-"IMPRS-ML"-"EURAXESS"-"Prof" Fellowship positions at Harvard University
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January 11, for awards is February 1, and for the internship program is February 15. Undergraduate Students Graduate Students and Advanced Undergraduates Post-doctoral Fellows Early-Career Scholars (from
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to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories and to develop approaches to predict and monitor
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postdoctoral researcher with a strong background in neuroscience. The ideal candidate will have extensive training in their Ph.D. program and be capable of independently conducting research in the field
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the lab. Also describe your suitability for the position, specifically referring to the qualifications listed above. Contact Information Katy O’Neill, Program Manager Mental Health for All Lab HMS Global
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are no longer accepting applications for the Banting Postdoctoral Fellowships program. Please refer to the Canada Postdoctoral Research Award program web page for information regarding the new harmonized program
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and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and computational efforts across multiple labs at Harvard's Faculty
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all backgrounds who are pursuing doctoral studies in all fields to apply. What if I am enrolled in a joint masters and Ph.D. program and do not have proof of a completed master’s program? You must
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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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secondary affiliation with the Harvard Medical School Department of Microbiology and are part of the Harvard Program in Virology. · Ideal applicants will be expected to develop a research program that is
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single synthetic program of computational geometry. Specific interests include morphology, design topology, discrete differential geometry, packings, and machine learning methods for unstructured geometric