73 computer-software-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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key findings in peer-reviewed journals in a timely manner. Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting
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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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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
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key findings in peer-reviewed journals in a timely manner. Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting
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techniques (parallel programming models, algorithms, and software) Experience in theoretical and computational physics or material sciences Preferred Qualifications: Background in the development
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Requisition Id 16337 Overview: Interested in taking your scientific computing skills to the next level? We are seeking a research scientist to work in a world-class research group focused
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Science group addresses this mission through the development of quantum computational methods and software for diverse scientific applications. Major Duties/Responsibilities: Conduct research in
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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software that makes these methods usable and reproducible for other researchers. Design and execute computational studies that assess model performance, sensitivity, and parameter identifiability, and that