46 applied-physics-"https:"-"https:"-"https:"-"https:"-"EMBL" Postdoctoral positions at Oak Ridge National Laboratory
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and implement physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction. Conduct multimodal
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-order models and ML/AI tools applied to macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and ML Experience working in a multi-disciplinary
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quantum computing, condensed-matter physics, neutron scattering, applied mathematics, and scientific computing. This position resides within the Quantum Sensing and Computing Group in the Computational
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measure success. Basic Qualifications: Ph.D. in theoretical physics, computational physics, computer science, applied mathematics, computational science or a related discipline, earned no more than five
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, Physics, Materials Science, Applied Physics, or a related field Gas dynamics, pressure drop, and flow through complex systems Experience with mass transfer, diffusion, convection, and coupled heat
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be expected to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity
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predictions for future experiments and guide improvements to the physics model. Work closely with teams of diagnosticians, theorists, applied mathematicians, and experimental plasma physicists. Create high
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intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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Requisition Id 15880 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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health sciences (such as health physics, radiological health, medical physics, nuclear engineering, applied mathematics or a closely related discipline) Sound foundation in radiation transport