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Field
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Overview Research and Innovation IT has become crucially important across the full spectrum of research activity at the University of Sheffield. In addition to traditional compute-intensive HPC
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Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or JAX Experience with HPC and GPU-accelerated computing Familiarity with foundation models / LLMs; interest in reproducible
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traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. We work with petabytes of data, a computing cluster with hundreds of thousands
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. The role involves the design, implementation, and testing of GPU compute kernels, and associated host code, for the CHR real-time pipeline. Particular challenges include high-throughput beamforming via a
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Data Scientist - 39464 University Staff Description University of Colorado Anschutz Medical Campus Department: Biomedical Informatics Job Title: Data Scientist Position #00846350 – Requisition
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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help shape the future of computations research at the University of Bath. As a Research Software Engineer, you’ll collaborate with researchers across all disciplines to create, improve and maintain
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) Established Researcher (R3) Application Deadline 30 May 2026 - 22:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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learning and signal processing libraries; You have HPC/GPU computing experience, including running deep learning workloads on compute clusters (CUDA-compatible GPUs, multi-GPU training, Slurm). Your master's
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on small test clusters. Test computational performance and resolve technical challenges on significantly larger models of selected quantum materials. Work on speeding up Krylov solvers on GPUs. Demonstrate