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Field
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configuring and managing environments in AWS/Azure or High-Performance Computing clusters for GPU-intensive tasks. Desired: Master’s degree in computer science, Data Science, Digital Humanities, or a related
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using Cinema 4D within a motion graphics or interactive media pipeline. Experience with GPU-based rendering tools such as Octane Renderer for creating high-quality visualizations, motion graphics, or 3D
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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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highly-motivated candidate, skilled in numerical model development (programming in FORTRAN, numerical methods, HPC environment). Experience in numerical methods on unstructured grids and/or GPU would be
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of cores, and a growing GPU cluster containing thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance
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fonctionnant sur CPU et GPU, cette thèse de doctorat vise à caractériser la dynamique de ces ondes de choc, leur évolution à long terme et leur signature observationnelle. Cette thèse est financée par une bourse
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. Conduct experimental studies using GPU-enabled computing resources for model training, inference, and simulation-based evaluation. Support rapid prototyping and iteration of research ideas, from concept
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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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platforms and our local CPU and GPU clusters; implementing Python tools for automating CSP/DFT calculations; - Participation in the scientific activities of the Applied Quantum Chemistry group (IC2MP) and the
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to train large-scale models and work with GPU clusters. Demonstrated ability in distributed training and optimization of AI workflows. Proficiency in JavaScript/TypeScript and C++/Rust. Familiarity with HTR