77 structural-engineering-eth Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 16974 Overview: We are seeking a Postdoctoral Research Associate to conduct Mechanical Behavior of Advanced Structural Alloys by Engineering Diffraction. This position resides in
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Requisition Id 17105 Overview: We are seeking a Postdoctoral Nuclear Engineer in the Nuclear Nonproliferation Division (NND), division operating within the National Security Sciences Directorate
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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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transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering disciplines, enabling the laboratory to explore fundamental science
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for building envelopes of new construction and retrofits to enable DOE’s energy efficiency goals. Our synergistic research areas include building science, material and system development, and advanced
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
and Technology Directorate, at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: The successful candidate will be responsible for conducting, coordinating, and reporting complex
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Requisition Id 16386 Overview: We are seeking a Postdoctoral Research Associate to conduct advanced research on the mechanical behavior and microstructure evolution of advanced structural alloys
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temperature compounds (UHTC’s) structures. Knowledge of organic chemistry, synthetic methods, and the skill to work with air and/or water reactive compounds in an inert atmosphere glovebox and/or Schlenkline is
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, electronic structure theory (e.g., density functional theory), spectroscopic mapping/modeling, and AI/ML to investigate molecular reactivity in liquid media. The postdoc will work within a multidisciplinary
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generation of atomic structures and training of machine learning interatomic potentials (MLIPs) in a way that maximizes the capability of high-performance computing (HPC) platforms available in the Oak Ridge