80 moeling-and-simulation-post-doc Postdoctoral positions at Oak Ridge National Laboratory
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). The successful candidate will contribute to the modeling, simulation, and co-design of next-generation Quantum-HPC (QHPC) architectures, with particular emphasis on integration of quantum and HPC distributed
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analyze the results of testing and simulations. Metrics for success will include scientific output, disseminating results at national and international conferences and other technical meetings, and
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, SEM, or Raman. Perform data analysis of mass spectrometry (i.e., GC-MS, LC-MS, SIMS) and microscopy data sets and coordinate between experimental studies and theoretical simulations. Communicate
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model simulations. Experience working in a multi-disciplinary research environment. Demonstrated written and oral communication skills, a proven publication record, and effective interpersonal skills
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analyzing and interpreting experimental data to drive product innovation, as well as obtaining and calibrating simulation parameters based on laboratory results. Regular interfacing between experimental and
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structure, and simulation of coupled difference or differential equations. Experience calibrating simulation models against sparse, indirect, aggregated, or otherwise limited observations. Familiarity with
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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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system dynamic and transient simulations. Integrate post-processing measures for simulations to help with automation. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our
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) for microstructural characterization of materials. Correlate irradiation conditions to the post-irradiation performance of novel materials. Coordinate with hot-cell personnel to collect post-irradiation mechanical
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Requisition Id 16715 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifing frameworks for high-temperature alloys