197 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Princeton University
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and Engineered Materials for Energy, Environment and Sustainability*Optical Materials and Light Matter Interactions*Quantum Materials Science The term of appointment is based on rank. Positions
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available starting July 2025, and will remain open
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: 277494264 Position: Postdoctoral Research Associate (Construction Robotics) Description: OverviewAdel Research Group (ARG) at Princeton University invites applicants for full-time Postdoctoral Research
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: 277494275 Position: Postdoctoral Research Associate (Generative AI) Description: OverviewAdel Research Group (ARG) at Princeton University invites applicants for full-time Postdoctoral Research Associate(s
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project. The ideal candidate will have experience in yeast strain development and engineering CRISPR-based control of gene expression. This position will allow for both professional and laboratory skill
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The School of Engineering and Applied Sciences at Princeton University seeks applications for a postdoctoral position at the Keller Center for Innovation in Engineering Education. The position is in
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The Koel laboratory in the Department of Chemical Engineering at Princeton University is seeking a postdoctoral or more senior researcher position to advance the understanding of liquid metal plasma
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, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https://puwebp.princeton.edu/AcadHire/position/38901 and
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models