55 postdoc-molecular-dynamics-simulation Postdoctoral positions at Princeton University
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Dr. Bridgett vonHoldt is seeking to hire a postdoctoral associate (or other senior research) in the areas of evolutionary and ecological analyses of large genome datasets, modelling and simulation
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The Brooks lab in The Molecular Biology Department at Princeton University seeks to mechanistically determine how microbial cues promote innate and adaptive immune functions. We explore
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models
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, molecular biology, biochemistry, physics, computer science, and genetics. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending
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researcher will join an interdisciplinary team with strengths in physics, chemistry, and molecular biology. The existing team has successfully developed a cryogenic atomic force microscope that can
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-evolutionary biology -ecological genetics -metabolomics -proteomics -cell signaling -bacterial/yeast/animal cell molecular biology and genetics Expected Salary Range: Salary begins at $65,000/year and will be
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, or mechanobiology, strong organizational and communications skills, and be prepared to work in a dynamic environment. Candidates should apply online and include a cover letter, CV (including a list of publications
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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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: 272540360 Position: Postdoctoral Research Associate Description: Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks postdoctoral scientists or research
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models