270 computing-"https:"-"https:"-"https:"-"Genentech" positions at Oak Ridge National Laboratory
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Group, Theory & Computation Section, Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate (PSD) at ORNL. Major Duties/Responsibilities: Design, implement, and deploy advanced
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presentations, reports and dashboards, providing recommendations and findings on matters relating to projects. Basic Qualifications: A BS degree in computer science, business management, information
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a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. Visa Sponsorship
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in Computer Science, Data Science, Applied Mathematics, or a related field. Strong Python development skills and familiarity with git, CLI tooling, VS Code Proficiency with PyTorch and/or TensorFlow
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of materials across metallic, ceramic, and composite systems. The Material Processing research in MSTD supports missions for multiple program offices within the U.S. Department of Energy (DOE), including: Office
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a team. Comfortable in a multi-disciplinary environment. Preferred Qualifications: Experience conducting land surface model simulations in high-performance computing environments, evaluating models
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to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers, and disseminate innovative results through
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Isotope Program and other DOE mission areas. This has been a quickly expanding program at ORNL and offers significant opportunities for professional growth. The team demonstrates a collective excitement for
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Isotope Program and other DOE mission areas. This has been a quickly expanding program at ORNL and offers significant opportunities for professional growth. The team demonstrates a collective excitement for
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across diverse clients. You will use Frontier's computational power to scale and validate these privacy-preserving algorithms, enabling breakthroughs across energy and image modeling domains. You will also