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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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positions to work in experimental condensed matter physics with focus on angle-resolved photoemission (ARPES) and scanning tunneling spectroscopy (STS/STM) based studies of topological, strongly correlated
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, synthetic biology, yeast genetics, or control theory is a plus but not necessary. Ph.D is required. For more information, please visit: https://scholar.princeton.edu/jlagroup. Princeton University is
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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The condensed matter spectroscopy group at Princeton University invites applications for multiple Postdoctoral Research or more senior positions to work in experimental condensed matter physics with
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Quantum Systems initiative (EPiQS) The initial appointment will be for one year, with the possibility of renewal up to three years conditional upon satisfactory performance. Ph.D. is required; outstanding
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positions in theory, observation and instrumentation, including (but not limited to): the Lyman Spitzer, Jr. Postdoctoral Fellowship; the Henry Norris Russell Postdoctoral Fellowship; the Joint Carnegie
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, molecular biology, microbiology, biochemistry, biophysics, computational modeling or related fields. Experience in metabolic engineering, synthetic biology, yeast genetics, or control theory is a plus but not