200 parallel-computing-numerical-methods Postdoctoral positions at Princeton University
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submitted online and by September 14, 2025 for fullest consideration. We do not accept application materials by any other method. Letters of reference should be submitted by the priority deadline of September
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behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral researcher with background in human or monkey electrophysiology. Studies will include
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to ion beams with well-controlled energies and incident angles for benchmarking and validation of theoretical calculations and computational physics and chemistry modeling of important surface processes
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assessment, and geospatial modeling methods and tools. Applicants should have strong, demonstrated research ability, and excellent English written and spoken communication skills. Preference will be given
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spectroscopic and imaging techniques for UHV surface science experiments and methods. Additional expertise in plasma, plasma-materials interactions, and/or ALE is of significant value. Experience with the design
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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and additive manufacturing of architected materials. Previous experience in experimental, numerical, and parametric design research and experience is a plus. The project involves entrepreneurial
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postdoctoral research position available in the area of phylogenomics to work with Professor Tiago Simes. The Simes lab is broadly interested in phylogenetic methods and applications, using morphological and
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of reference. Applicant materials must be submitted online and by November 2, 2025 for fullest consideration. We do not accept application materials by any other method. Letters of reference should be submitted
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develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other researchers at Princeton and other institutions