59 parallel-processing-bioinformatics "Multiple" Postdoctoral positions at Princeton University
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researcher with background in human or monkey electrophysiology. Studies will include simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience
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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
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physical processes (e.g. ocean warming and mass redistribution); 2) conducting sensitivity analyses to identify the roles played by model forcing, horizontal resolution, and ocean-physics representation in
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simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use of laminar/neuropixel probes and electrical microstimulation to study
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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral
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at the Lewis-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine
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to genomics -bioinformatics -population genetics / genomics -evolutionary biology -ecological genetics -metabolomics -proteomics -cell signaling -bacterial/yeast/animal cell molecular biology and genetics
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expected to contribute to projects that aim to model the drivers and impacts of energy transitions across multiple scales. Specifically, the researcher will join a team of energy modelers at the Andlinger
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to coastal sea level variability and relevant physical processes (e.g. ocean warming and mass redistribution); 2) conducting sensitivity analyses to identify the roles played by model forcing, horizontal