23 bayesian-inference-tracking Postdoctoral positions at Oak Ridge National Laboratory
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, multidisciplinary team environment. Preferred Qualifications: Knowledge of uncertainty quantification methods and causal inference for complex environmental systems. Experience with large-scale Earth system
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evaluating materials for separation applications A strong track record of productive and creative research proven by publications in peer-reviewed journals Excellent written and oral communication skills
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with performance modeling, benchmarking, profiling, and quantitative comparison of emerging computing technologies against conventional HPC systems. Strong track record of collaborative research and
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, reports. Seek membership in professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant area with an education and a research track record in
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area with an education and a research track record in HPC/AI/edge systems and storage research within past five years. Preferred Qualifications: Ability to work independently to design and deploy methods
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professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage
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related field completed within the last 5 years Good track record in scattering theory, quantum many-body theory, thermodynamics, statistical mechanics, or non-equilibrium physics. Experience in
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track record of productive and creative research proven by publications in peer-reviewed journals. Excellent written and oral communication skills. Motivated self-starter with the ability to work
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photonics, cryogenic systems, carbon-nanotube devices, quantum computing, processing-in-memory, CXL, or advanced memory systems A well-established track record of research relevant to one or more of the
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a closely related field completed within the last 5 years A track record in the physics of correlated oxides or 2D materials Experience in thin film deposition or 2D materials synthesis Preferred