189 computer-science-programming-languages positions at Oak Ridge National Laboratory
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
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Experiences building satellite imagery preprocessing workflows Experience using Python or other programming languages to develop AI algorithms in PyTorch computing framework Preferred Qualifications: Experience
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to strengthen and expand CRID’s mission portfolio. This role drives long‑term division strategy, identifies emerging mission needs, shapes new program opportunities, and cultivates sponsor relationships across
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/Responsibilities Perform particle tracking simulations and computational analyses to support the design, optimization, and interpretation of advanced engineering and scientific research Develop and maintain
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research programs within the Biological and Environmental Systems Science Directorate (BESSD). This position resides within the Communications and Community Engagement Directorate. BESSD advances scientific
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program. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over
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participation in workshops, as well as other program development activities Develop new engineering algorithms and/or write components of new software tools Co-author and contribute to various proposals/grants
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performance computing, including reviewing/interpreting Statements of Work and engineering documents. Experience with cost-type contracts and cost accounting standards. Advanced level of knowledge and
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a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED