10 atomic-physic Postdoctoral positions at Oak Ridge National Laboratory in postdoctoral
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implementation of constitutive models within commercial and/or open-source finite element software is required. Preferred Qualifications: Demonstrated expertise in multi-physics FE simulations is preferred
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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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implementation of constitutive models within commercial and/or open-source finite element software is required. Preferred Qualifications: Demonstrated expertise in multi-physics FE simulations is preferred
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, condensed-matter physics, neutron scattering, applied mathematics, and scientific computing. This position resides within the Quantum Sensing and Computing Group in the Computational Sciences and Engineering
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the adoption by project sponsors. You will also be involved in proposal writing with our scientists while taking the lead in publishing high impact papers. Major Duties/Responsibilities: Work within a
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Requisition Id 16647 Overview: We are seeking a postdoctoral research associate who will focus on the physics of nonequilibrium dynamics in many-body systems. This position resides in the Quantum
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candidate will have the opportunity to assist ORNL scientists involved in these efforts, to gain expertise in biokinetic and dosimetric modeling, and to assist and eventually lead in the preparation of open
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resides in the Neutrino Research Group in the Fundemental Nuclear & Particle Physics Section, Physics Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of our
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solutions to compelling problems in energy and security. We are seeking an outstanding Postdoctoral Research Associate with a strong background in condensed-matter physics and materials science – especially
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that combines mechanistic ecophysiology with AI, such as: Physics-informed machine learning and neutral networks to investigate plant physiological / abiotic relationships Bayesian statistics and neural and