384 parallel-programming "Genomics Research and Development Institute" positions at Oak Ridge National Laboratory
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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
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Requisition Id 16505 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming
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solutions 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
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research projects, including experimental planning, prioritization of tasks, interpretation of results, troubleshooting, and development of next-step strategies. Collaborate effectively with scientists
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geothermal casing related harsh environments applications. A background in polymer chemistry research or related fields, composite material development, material science, and data analysis is preferred
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tensor network algorithm development and application. Competency with common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel
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Distinguished Staff Scientist (Cancer Biology and Radiopharmaceutical Therapy Development and Advanc
battery development, cutting-edge research in next-generation nuclear reactors, and the advancement of targeted alpha therapy in cancer treatment. Major Duties/Responsibilities: Interdisciplinary
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statistical mechanical theory to analyze the simulation results Basic understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred
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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
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will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital