60 parallel-computing-numerical-methods "DIFFER" Postdoctoral positions at Oak Ridge National Laboratory
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methods through which AI agents guide architectural design decisions for massively parallel heterogeneous systems, including pathways that integrate quantum or analog co-processors. Performance
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methods through which AI agents guide architectural design decisions for massively parallel heterogeneous systems, including pathways that integrate quantum or analog co-processors. Performance
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; and one-sided asynchronous programming models. Experience in heterogeneous computing, developing and debugging massively parallel algorithms and code performance profiling are a plus. Special
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developing software for scientific, statistical, or numerical computing. Strong written and verbal communication skills, including experience presenting scientific results to technical communities and at
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Materials (MsM) group of the Advanced Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using
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management, intermediate representations, or execution orchestration for quantum or heterogeneous computing platforms. Experience with heterogeneous and parallel computing technologies, programming
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systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and
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research and development workflows. The successful candidate will develop novel AI methods that integrate scientific knowledge, simulation, experimental data, and large-scale computing to achieve
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pending methods. Additionally, you will develop/refine finite element and numerical analysis models to portray shear strength response as a function of temperature, and to attempt to ultimately
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance