76 application-programming-android Postdoctoral positions at Oak Ridge National Laboratory
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world
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applications. This role offers unparalleled access to ORNL’s world-leading computational resources, including the Frontier supercomputer, and the chance to make meaningful contributions to DOE's mission-critical
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in AI/ML for materials discovery and process optimization would be a plus Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and
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National Laboratory (ORNL). Major Duties/Responsibilities: Interacting with a team of experts at ORNL on projects evaluating the U.S. Department of Energy Weatherization Assistance Program and its efficacy
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optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge of high-performance computing and its applications. An excellent record of productive and creative
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation
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. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application on high-performance computing (HPC) environments using distributed data
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avoidance, autonomous exploration, frontier selection, and localization-aware trajectory planning. Develop high accuracy point cloud registration and mapping workflows. Plan and conduct experiments
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support the development of design rules for engineering microbes for energy and environmental applications. ORNL’s multidisciplinary research environment brings together expertise across biology