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Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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between models and experiments), Developing empirical force fields Developing scientific software and workflows Experience in programming for HPC environments, including MPI, OpenMP, or CUDA
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physics knowledge into DL model design and training, these models outperform traditional methods even without labeled training data (https://www.nature.com/articles/s41524-022-00803-w ). Application spaces
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to the development in high-performance computing environments. They will work with a team of researchers in the Decision and Infrastructure Sciences Division at Argonne and be part of interdisciplinary collaborations
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pathogen variants. You will be part of a collaborative initiative between Argonne National Laboratory (ANL), Lawrence Livermore National Laboratory (LLNL), Fred Hutchinson Cancer Center (FCC), University
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, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here to view Argonne employee benefits! As an equal
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The Postdoctoral Appointee will be part of an R&D group conducting use-inspired research supporting the development of process technologies for next-generation nuclear/chemical/electrochemical
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The Postdoctoral Appointee will be part of a R&D group conducting use-inspired research supporting the development of next-generation energy technologies such as nuclear fuel recycling and
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market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here to view Argonne employee benefits! As an equal employment opportunity employer, and