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Field
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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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-Informed Neural Networks (PINNs) and geometric deep learning. Experience with active learning, agentic workflows, or other methods for autonomous experimentation. Familiarity with high-performance computing
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& Implementation Science Graduate Certificate Program . Responsibilities: Perform investigator and principal investigator functions, including: · Design, execute, and evaluate research to optimize
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March 2026. The position is a full-time, 24-month (two-year) appointment, which may be extended to a third year upon successful performance, subject to funding and mutual agreement. Postdoctoral Scholar
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reinforcement learning Experience with high-performance computing, physics-based simulations, and multimodal data workflows Demonstrated ability to train and deploy AI/ML models using simulated and experimental
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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, high-performance computing (HPC), and computational sciences. Major Duties/Responsibilities: Participate in: (1) design and implementation of scalable DL algorithms for atomistic materials modeling
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United States Application Deadline 24 Oct 2026 - 23:59 (America/Los_Angeles) Type of Contract Not Applicable Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme
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imaging quality control and processing. Assist with grant applications, manuscript preparation and supervision of RAs and volunteers. Performs other duties as needed. Required Qualifications Ph.D degree in
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public health, health services, epidemiology, behavioral sciences, and informatics to guide study design and dissemination. Perform other related duties and participate in special projects as assigned