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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
. Focus will largely be in developing and deploying such AI/ML algorithms, closely collaborating with theorists and experimentalists to realize physics- models and/or physics-aware ML-models that can bridge
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, patents, journal papers, and conference publications, participate in proposals, and estimate costs. Basic Qualifications: A PhD degree in physics, optical or electrical engineering, nuclear engineering, or
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scheduling Take a position of leadership for day-to-day laboratory operations while addressing all of ORNL’s environmental health and safety requirements Self-assess experimental research skill set and
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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of this role is the study of the chemical and physical properties of molten salt liquids relevant to fission and fusion reactors. The production and recovery of tritium fuel are major challenges for successfully
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publish novel research ideas, mentor students, and collaborate with partners and sponsors. Research activities include, but are not limited to: Rapid prototyping and evaluation of experimental systems
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upload documents to your candidate profile: Login to your account via jobs.ornl.gov View Profile Under the My Documents section, select Add a Document Special Requirements: Work involves various physical
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for the Postdoctoral Research Associate, Advanced Nuclear Reactor and Fuel Cycle Engineer role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics
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availability of funding. Physical Requirements: Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer. Security, Credentialing and
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high-performance computing facilities. There is significant potential for high-impact research contributions at the forefront of computational quantum many-body physics. This position resides within