36 recommender-system Postdoctoral positions at Oak Ridge National Laboratory in postdoctoral
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Requisition Id 17144 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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models of gas transport and process behavior in industrial systems Collaborate with a team of scientists from across the national laboratory complex on modeling efforts Extend process flow modeling across
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Requisition Id 17043 Overview: The Materials & Chemistry Group (MCG) within the Nuclear Nonproliferation Division (NND), a part of the National Security Sciences Directorate (NSSD), is seeking a
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
system technologies. This position resides in the Multifunctional Equipment Integration Group in the Thermal System Science Research Section, Buildings and Transportation Science Division, Energy Science
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computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research
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to obtain and maintain an HSPD-12 PIV badge. For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
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Requisition Id 17001 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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chemistry of metal ions, most desirably experience with Gallium and/or transition metals/lanthanides and experience with electrochemical separation is a plus Experience in ligand synthesis, functionalization
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characteristics and system-level requirements, and their suitability for scientific applications. The candidate will develop modeling and simulation capabilities to quantitatively evaluate quantum, classical, and