26 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "I.E" positions at Nature Careers in France
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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voiture pour leurs trajets domicile- travail,” https://www.ouest-france.fr/economie/transports/voiture/les-trois-quarts-des-francais-continuent-dutiliser-la-voiture-pour-leurs-trajets-domicile-travail
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strong background in optimization and machine learning. Good coding skills in Python, PyTorch are welcomed. Application Applications should contain a CV, a motivation letter, the grade records of the last
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policy-as-code for real-time safety checks Parameter-efficient fine-tuning of LLMs for age-appropriate, pedagogically meaningful dialogue High-performance computing pipelines on Luxembourg's MeluXina
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on ARSPECTRA hardware in collaboration with their engineering team Contribute to open-source code, demonstrators and joint publications with ARSPECTRA and clinical partners Your profile PhD in computational
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deep learning, optimisation, sampling. Good coding skills for numerical simulation (Pytorch, Python, MATLAB, ...). A general interest in health and biology is welcome. Practical information MORPHEME