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Field
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team engaged in translational environmental health research. Our NIH-funded projects span environmental and molecular epidemiology, computational toxicology employing artificial intelligence
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The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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machine learning, statistical inference or computational physics Demonstrated research productivity with peer-reviewed publications Programming proficiency in modern scientific computing Excellent
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position to work on a new collaborative project in a team with expertise in plasma and plasma-surface interactions, surface science, and quantum metrology. The overall goal of the project is to develop
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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. Compute properties of nuclei using high-performance computing resources. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner. Ensure compliance
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of ecology, evolution, and/or behavior, while also contributing to Princeton University's excellence and diversity, broadly defined. The Program is intended to foster the onward scientific careers
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scientists with extensive microelectronics (materials and devices), AI, computational materials science and materials characterization expertise; and will be expected to bring the electrochemical expertise