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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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background in chemical and biological engineering, bio-engineering, molecular biology, microbiology, biochemistry, biophysics, computational modeling or related fields. Experience in metabolic engineering
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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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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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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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. 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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: 272540356 Position: Postdoctoral Research Associate Description: We are seeking an ambitious and driven Postdoctoral Research Associate to conduct cutting-edge research at the intersection of immunology and
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The Ferris Research Group in the Mechanical and Aerospace Engineering Department at Princeton University invites applications for a postdoctoral research associate position, to start as early as
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] Subject Areas: Computational Biology / Data Analytics Machine Learning / Machine Learning Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering
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. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense date) or hold a Ph.D. in chemical engineering, chemistry, materials science and engineering, mechanical engineering, or a