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algorithms. The post-doc will carry out theoretical work on causal abstraction and causal alignment, implement algorithms and experimental pipelines in Python/PyTorch, and run experiments on GPU clusters
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programming in C++ and Python. - Mandatory mastery of GPU programming (CUDA) for optimization. - Experience with Deep Learning frameworks (PyTorch). - Knowledge of the AliceVision architecture is a major asset
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
have access to major national HPC facilities (Grid5000, Jean Zay, GENCI allocations), including large-scale GPU resources. Biomolecular function is driven by both structure and dynamics. Understanding
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will benefit from the Jean Zay supercomputer to perform intensive GPU calculations but also MARBEC/LIRMM GPU shared resources (https://umr-marbec.fr/recherche/dispositifs-de-recherche/den/ ). His/her
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
translation models and medical images analysis are considered important assets. Established expertise in key machine & deep learning frameworks and toolsets. Experience in GPU computing, HPC, Containers & Image
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typically work with datasets of up to several TBs depending on the case study); - Autonomy to conduct independent analysis and research on our (GPU/CPU) servers, familiarity with coding frames in machine
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 9 days ago
Devices" ). • Bring various improvements on the synthetic model (vasculature shape / aneurysm / background noise modelling) • Numerical simulations will be performed on a GPU HPC cluster. • Programming in
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-dependent approaches. -Proficiency in high-performance computing (MPI/OpenMP/GPU) and scientific code development is a plus. -Interest in attoscience and/or matter–antimatter physics is an asset. -Ability
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-getalp.imag.fr/ ), which offers a dynamic, international, and stimulating environment to conduct high-level multidisciplinary research. The person will have access to large datasets, GPU servers, means