146 computer-science-programming-languages-"U" Fellowship positions at Harvard University
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Details Title Postdoctoral Fellow in Materials Science & Mechanical Engineering - Microelectronics and Soft Materials School Harvard John A. Paulson School of Engineering and Applied Sciences
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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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datasets as well as optimally leveraging integration with existing genomics datasets. The role will often involve rapid prototyping in support of a dynamic, fast-moving experimental program; it is focused
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of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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. Applicants are required to submit: • CV • Cover letter (1-2 pages) that briefly states your interest in the program, your academic background, and a summary of your proposed research project • Research
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Details Title Postdoctoral Fellow in Psychology School Faculty of Arts and Sciences Department/Area Psychology Position Description Dr. Ashwini Ashokkumar’s lab at the Department of Psychology
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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Details Title Postdoctoral Fellow in Psychology School Faculty of Arts and Sciences Department/Area Psychology Position Description Dr. Ashwini Ashokkumar’s lab at the Department of Psychology
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Details Title Postdoctoral Fellow in Robotics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description The John A. Paulson
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assessment, and ambulatory behavioral assessments to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories