20 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" positions at Nature Careers in France
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
References 1. Elsoe R, Larsen P, Nielsen NP, Swenne J, Rasmussen S, Ostgaard SE.Population-based epidemiology of tibial plateau fractures. Orthopedics. 2015 Sep;38(9):e780–6.Available from: https
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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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Within the Department of Precision Health, Dr. Torsten Bohn, Head of the Nutrition & Health Research Group (NUTRIHEALTH), we aim to strengthen our team, especially in laboratory-related aspects
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role The VR/AR Lab , headed by Dr. Jean Botev in the Department of Computer Science, is inviting applications for a Doctoral Researcher position in Mediated Reality. The VR/AR Lab is a research unit
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interdisciplinary, and together we contribute to science and society. Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational
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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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algorithms. Good coding skills in Python, PyTorch, together with a general interest in biology are welcomed. Application Applications should contain a CV, a motivation letter, and the names and contact
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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