148 computer-science-programming-languages-"U" Fellowship positions at Harvard University
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Details Title Postdoctoral Fellow in Comparative Genomic Approaches to the Evolution of Multicellularity School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology
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Details Title Postdoctoral Fellow in Marine Molluscan Phylogeny and Venom Evolution School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology Position Description
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Supporting Dental, Oral, and Craniofacial Research Using Bioinformatic, Computational, and Data Science Approaches. See Notice NOT-DE-20-006 . April 1, 2020 - Notice of Special Interest: Developmentally
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The Program on Constitutional Government in the Center for American Political Studies and the FAS Department of Government at Harvard University will offer one postdoctoral fellowship for the 2025-2026 academic
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and Training Programme , researchers need to be nationals or long-term residents of an EU Member State or a Euratom Associated Country. The beneficiary organisation recruiting the researcher also needs
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The Project on Managing the Atom offers fellowships for pre-doctoral and post-doctoral scholars, and mid-career professionals, for ten months. Research topics of interest include aspects of nuclear nonproliferation policy, nuclear weapons strategy, arms control, disarmament processes and...
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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
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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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for undergraduate and graduate students. Qualifications: 1. A Ph.D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic understanding
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for peer reviewed social science journals. Candidates should have some familiarity with: Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables