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drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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Experiment Analysis Advanced Detection Data Science and Modeling and Simulation for Nuclear Related Research Environmental Risk and Energy Analysis Experience with computational modeling and simulation tools
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performance modeling, static analysis, or PIM/heterogeneous architecture research. Knowledge of large-scale scientific computing applications and algorithms (sparse linear system solvers, dense matrix
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providing a chance to work on innovative projects and contribute to the future of nuclear science and technology. This is an evergreen position. We are continually reviewing applications to fill potential
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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simulation software related to radiation transport and computational fluid dynamics. Conduct performance profiling of existing scientific software to identify bottlenecks and implement strategies for improving
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. The division leads and supports a vibrant world-class user program while continuing to develop new neutron scattering methods, approaches, and instrumentation, and performing cutting-edge scientific research
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the globe and provides computational infrastructure and analysis tools for the scientific community. In this position, you will work independently and as part of a team to research, develop, and operate under
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Requisition Id 16119 Overview: We are seeking a Senior Nonproliferation Data Scientist to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences
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in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate