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Princeton University, Program in Applied and Computational Mathematics Position ID: 639 -PDRA [#26786, PACM2026] Position Title: Position Type: Postdoctoral Position Location: Princeton, New Jersey
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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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. These models will be used to design and test policy and investment interventions to alleviate deployment bottlenecks. The successful candidate will have experience with applied energy systems analysis, economy
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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fellow or more senior researcher to work on projects related to computational analysis of chemical and biochemical datasets. A major focus will be on the identification of small molecules from mass
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, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using cutting-edge
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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data
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research specialization in Political Theory. We understand Political Theory broadly to include the history of political thought, normative analysis, and intellectual projects involving work jointly with
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The Moini Lab in the Department of Civil and Environmental Engineering (CEE) at Princeton University is seeking a Post-doctoral or more senior Researcher candidate with a strong background in the