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, experience with a variety of programming languages, and familiarity with critical path planning tools, are essential. A Ph.D. in engineering, operations research, computer science, or another related field is
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: 279149176 Position: Postdoctoral Research Associate Description: A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis
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senior ranks may have multi-year appointments. A PhD is required, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related Engineering and Physical sciences
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the Department of Chemical and Biological Engineering to study the biochemical and mechanical mechanisms that define pattern formation during branching morphogenesis of the lung and mammary gland. Further
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retrotransposition using an integrated biochemical and structural approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through
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Research Fellowship in Modern Greek Studies. Scholars in all humanities and social sciences disciplines are eligible to apply. The appointment is expected to start on September 1, 2026 through August 30
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Location: Princeton, New Jersey 08540, United States of America [map ] Subject Areas: Applied Physics Quantum Optics Computational Science and Engineering Quantum Condensed Matter Theory Atomic and Molecular
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Postdoctoral Research Associate, Hellenic Studies and the School of Public and International Affairs
promising early-career scholar who is trained in international studies, public policy, or a related academic discipline, such as politics, economics, law, public administration, contemporary history
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of squamate reptiles; the largest group of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus
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evaluation.This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning for biological or chemical data, and