70 parallel-computing-numerical-methods Postdoctoral positions at Oak Ridge National Laboratory
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of integrated, multi-scale, coupled-physics computer codes, design and implementation of scalable numerical methods, uncertainty quantification, and following team planning, documentation, verification and
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Requisition Id 14893 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory approaches, as
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research and development in the areas of gauge field generation, linear and eigen-solvers, or novel analysis methods. This position will reside in the Advanced Computing for Nuclear, Particle and
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of scientific results in peer-reviewed journals and conferences. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong commitment to the implementation and
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(UHTC’s) structures. Knowledge of the organic chemistry, synthetic methods, and the skill level to work with air and/or water reactive compounds will be a mandatory requirement. Additional experience with
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: Experience in radiological risk assessment Experience in biokinetic model development Experience with Monte Carlo radiation transport software and applications Experience with numerical computing using
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instrumentation and apply these in advancing nGI for material science research through novel instrumentation and computational methods. Then you will be applying nGI in addressing critical scientific questions in
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manufacturing (AM) processes. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science
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techniques to control the growth environment and material consistency across the wafer targeting applications in microelectronics and quantum information science. This position resides in the Functional Hybrid
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skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers