11 interactive-computing Postdoctoral positions at Princeton University in United States
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searching for a computational postdoctoral research associate. The project is associated with atomistic plasma-surface interaction simulations, employing machine learned interatomic potentials (MLIPs
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project supported by the Princeton AI Lab Seed Grant Program in the research group of Professor Jie Deng. This position is part of a collaborative project involving close interaction with faculty in
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applicants must: - Hold or expect to have completed a doctoral degree in Design or in a design-related field such as Human-Computer Interaction, Information Science, Science and Technology Studies, Sociology
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are required to have a Ph.D. or equivalent in biology, ecology or related fields. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and
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associate to join a functional genomics project focused on reviving âœghostâ genomic variation in the critically endangered Red Wolf. The successful candidate will contribute to a novel research program
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to explore, discover and understand emergent behavior of complex quantum matter. The Moore Postdoctoral Scholars in Theory of Quantum Materials program is an integral part of EPiQS and supports theoretical
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-x, https://pubs.acs.org/doi/10.1021/acs.analchem.5c06256, https://www.nature.com/articles/s41570-023-00570-2). The research is computational in nature but involves close interactions with experimental
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for Energy, Environment and Sustainability *Optical Materials and Light Matter Interactions *Quantum Materials Science Qualifications A PhD in Materials Science, Optics, Physics, Chemistry, Electrical
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the
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energy systems model. By focusing on a few country test cases (e.g., US and South Korea), this multi-scale modeling framework will be used to analyze the interacting drivers for energy decisions across