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information theory for AI systems. Proficiency in Python and experience with GPU cluster environments (e.g., SLURM ) are a plus. Special Instructions Please provide a CV, a Research Statement, and two or
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programming skills and practical experience with leading machine learning frameworks and modern AI environments, including multi- GPU model training and large-scale inference on dozens to hundreds GPUs, are
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skills and practical experience with leading machine learning frameworks and modern AI environments, including multi- GPU model training and large-scale inference on dozens to hundreds GPUs, are
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skills and practical experience with leading machine learning frameworks and modern AI environments, including multi- GPU model training and large-scale inference on dozens to hundreds GPUs, are
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, generative modeling, graph neural networks, transformers, or foundation model pretraining and fine-tuning is a plus · Experience with multi- GPU or distributed training is a plus · Ability to
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qualité et la continuité des services proposés sur ces machines. Elles déploient des technologies à l’état de l’art en matière de CPU/GPU, de calculateurs quantiques, d'architecture et infrastructure IT
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, and linked data. Data-intensive research computing: reproducible workflows, containers, high-performance computing, Slurm environments, and the appropriate use of GPU resources. Digital cultural
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, FAIR principles, and linked data. Data-intensive research computing: reproducible workflows, containers, high-performance computing, Slurm environments, and the appropriate use of GPU resources