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analysis, profiling, and optimization of parallel applications using tools such as NVIDIA Nsight, rocProfiler, or similar. Strong understanding of parallel programming with MPI, OpenMP, and GPU-based
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Systems and Software Program (WASP ). You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one
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architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch, including training and evaluating models on GPU/HPC infrastructure; • experience working with
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GPU infrastructure. This Postdoc position is part of the eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from the foundational
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interfaces. Plan controlled ablation studies and reproducible evaluations using scratch training across multiple seeds, exact train and validation metrics, parity and error analyses, gradient checks, and end
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programming/scripting (Bash,Python) Preferred Qualifications The candidate should have demonstrated experience in molecular modelling, particularly in the areas of biophysics or material design (all atom
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through the EU Research Framework Programme? Other EU programme Reference Number CARNOT HyLBM - PostDoc CFD Is the Job related to staff position within a Research Infrastructure? No Offer Description
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the EU Research Framework Programme? Horizon Europe - EIC Reference Number 101307322 Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you like a job in
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
unswerving commitment to doing what’s right, making things better, and being kind. These are the standards to which we hold ourselves, and one another. Please read more about this important DGSOM program at
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framework for unsupervised deep imaging phenotyping and imaging GWAS. The lab is now expanding these programs across pangenome informatics, clinical deployment-oriented AI, and multimodal imaging genetics