65 scientific-computing Postdoctoral positions at Princeton University in United States
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] Subject Areas: Computational Biology / Data Analytics Machine Learning / Machine Learning Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering
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, including but not limited to cement chemistry, material science, or structural materials and mechanics. Candidates with a strong commitment to interdisciplinary research are especially encouraged to apply
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. Essential qualifications for this position include: a Ph.D. in Neuroscience, Psychology, Cognitive Science, Computer Science, Engineering, or other related field, and strong experience with computational
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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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 on i) phylogenomic inference of hundreds
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University invites applications for postdoctoral positions. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing
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, biochemistry, computer science, biological or chemical engineering, forensic science, or a related field. To apply online, please visit https://puwebp.princeton.edu/AcadHire/position/38881 and submit a CV and
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scientists for research and development activities focused on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution
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. The DataX Postdoctoral Research Associate positions are intended for early-career scientists with a research interest in data science, statistics, and machine learning. As an associate, you will join the
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position to advance the understanding of liquid metal plasma-facing materials and first wall concepts for fusion energy devices through surface science experiments. Studies under the controlled conditions of