94 computer-programmer-"https:" "https:" "https:" "Princeton" Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 16757 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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identify weakness and secure learning resources to address these issues Ensure compliance with environmental, safety, health and quality program requirements Maintain strong dedication to the implementation
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is to enable new capabilities in the large scale simulation and quantification of materials properties using quantum computers. Specific research focuses may include scaling quantum simulations using
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Requisition Id 17270 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming systems
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publish scientific results in peer-reviewed journals in a timely manner Ensure compliance with environment, safety, health and quality program requirements Maintain strong dedication to the implementation
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journals in a timely manner. Ensure compliance with environment, safety, health, and quality program requirements. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core
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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
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compatible with the leadership-class high-performance computing facilities available at ORNL and other DOE facilities. Independently plan and conduct simulations while routinely adapting them to integrate with
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-performance computing, scientific modeling, and domain-informed AI to accelerate discovery across DOE mission areas such as energy, materials, biology, nuclear science, autonomous laboratories, and scientific
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scientific imaging. The primary responsibility of this position is designing and implementing sparse algorithms for large-scale scientific and numerical computations. The successful candidate will pursue