31 software-defined-network-postdoc Postdoctoral research jobs at Princeton University
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access to state-of-the-art numerical models and high-performance computing systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and
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defined research and laboratory tests and experiments according to prescribed protocols and assigned schedules and developing/documenting new laboratory protocols. All these activities should be done in
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models, programming, and quantitative methods. Preferred qualifications include experience in reinforcement learning, neural networks, and/or statistics. Questions can be addressed to Professor Nathaniel
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of laminar/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH
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the Department of Chemical and Biological Engineering to study the biochemical and mechanical mechanisms that define pattern formation during branching morphogenesis of the lung and mammary gland. Further
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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of epistemic values in scientific practice, or the expression of values in collective behaviors (e.g., in online social networks). The proposed research is expected to yield both theoretical and empirical
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the biochemical and mechanical mechanisms that define pattern formation during branching morphogenesis of the lung and mammary gland. Further information about the lab can be found at www.princeton.edu
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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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opportunity to work closely with our engineers and other research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation of advanced