43 associate-professor-computer-science-"https:" "https:" "https:" "https:" "https:" uni jobs at Nature Careers in France
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, combining physics, mathematics and computational and systems biology with classical biology to explore a wide range of research fields including microbiology, RNA, chromatin and chromosome Biology, cell and
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Department of Geography and Spatial Planning (https://dgeo.uni.lu ) and participate to its activities Your profile Master's degree in human geography, spatial economics, or a quantitative social science field
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, several bachelors in nursing sciences and midwifery and medical specialization programmes, the University is recruiting for the Faculty of Science, Technology and Medicine, a Full Professor/Associate
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background in cybersecurity or computer science; experience in quantum communication and QKD would be a strong asset. Strong project management expertise in technical environments, covering planning, risk and
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the expertise of Dr. Torsten Bohn in nutrition and health and food chemistry, and Dr. Farhad Vahid in nutrition sciences and nutritional epidemiology. Key Accountabilities Carry out research experiments
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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2024 by Professor Yasmine Belkaid, the Institut Pasteur is home to over 3,000 members from more than 100 nationalities. From fundamental understanding of biological processes to pandemic preparedness
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
in Computer Vision; 2009 Oct 12–16; Trégastel, France.Available from: https://inria.hal.science/inria-00404638v1/document 5. Micicoi G, Grasso F, Kley K, Favreau H, Khakha R, Ehlinger M, et al
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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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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate