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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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) into to electronic health record (EHR/EMR) Assists with admission and orientation to unit, assists in preparation of hard copy charts Orders and distributes meals and snacks to patients Answers telephone Directs
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or relocation for this position. A U.S. Department of Energy National Laboratory managed by Princeton University, the Princeton Plasma Physics Laboratory (PPPL) is tackling the world’s toughest science and
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The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a postdoctoral or more senior researcher interested in computational materials design and
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
sea ice model; 3) evaluation of the impact of the conservative network in fully coupled historical and scenario climate simulations; and 4) the development of an emulator for sea ice model physics
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. AI^2. AI Postdoctoral Research Fellows will be a core part of the AI^2 community which seeks to use AI in new interdisciplinary ways and to fundamentally change the process of invention from design
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biological data sets (genomics, proteomics, imaging, neuroscience), bioinformatics, molecular dynamics simulations, and related areas at the interface of computer/data science and the life sciences. Applicants
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data sets (genomics, proteomics, imaging, neuroscience), bioinformatics, molecular dynamics simulations, and related areas at the interface of computer/data science and the life sciences. Applicants must
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/), to analyze, validate, and understand the characteristics of model simulated extreme weather events, with the focus on their physical processes, larger-scale environments, predictability, and impacts. There is