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extracting transport properties from molecular dynamics trajectories. ● Experience with GPU-accelerated machine learning frameworks (for example CUDA, PyTorch, or GPU-enabled LAMMPS). ● Experience
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-to-end GPU timing; document limitations and extrapolation behavior. Implement, test, document, and maintain open-source Python/JAX research software; collaborate with researchers to connect trained models
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, validation, calibration, and inference. Working with large, longitudinal, structured and unstructured datasets in Linux and high-performance or GPU-accelerated computing environments. Applying rigorous methods
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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing for lattice
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. Experience with heterogeneous and parallel computing technologies, programming models, or accelerators, including CPUs, GPUs, FPGAs, and emerging computing technologies. Familiarity with quantum software
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Posting Details Position Details Title Postdoc in Real-Time Data Analysis with LHCb at Indiana University Appointment Status Non-Tenure Track Department IU Bloomington Physics Location Bloomington
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Stanford Institute for Human-Centered AI (HAI)(link is external) , with opportunities to work with faculty, students, postdocs, and clinicians across Stanford. This position offers a unique opportunity to
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field theory, semi-classical methods in quantum many body dynamics, tensor networks and GPU-accelerated quantum evolution. Our work is concept- rather than method-centric. Candidates with backgrounds
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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, Astronomy, and Data Science. The initial appointment is for one year, with annual renewal expected for up to three years, subject to satisfactory performance and available funding. The postdoc will be