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program embedded in a large-scale, nationally funded research consortium with access to unique multimodal clinical datasets - State-of-the-art GPU infrastructure for training and fine-tuning large
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine
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role 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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compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change, within a GPU-accelerated solver to reduce simulation turnaround times. You will develop and
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
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, computational biology, bioinformatics, data science, or related fields Strong interest in clinical and biomedical data, translational research, and health informatics Experience with programming skills in Python
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
Framework Programme? Horizon Europe - ERC Reference Number 2026-09731 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are opening a Ph.D. position in computer
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
Research Framework Programme? Not funded by a EU programme Reference Number 2026-09787 Is the Job related to staff position within a Research Infrastructure? No Offer Description Thanks to advances in space
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Biology in Leuven (www.aertslab.org), led by VIB.AI Scientific Director Stein Aerts, is seeking a highly motivated PhD candidate to study how gene-regulatory programs give rise to neuronal phenotypes. In
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Biology in Leuven (www.aertslab.org), led by VIB.AI Scientific Director Stein Aerts, is seeking a highly motivated PhD candidate to study how gene-regulatory programs give rise to neuronal phenotypes. In