43 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Nature Careers in France
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. Along with disciplinary approaches, a very ambitious interdisciplinary research culture has been developed. The Faculty's research and teaching focuses on social, economic, political and educational
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part of the Faculty of Science, Technology and Medicine of the University of Luxembourg. DLSM is coordinating all teaching programmes in life sciences, medicine, nursing and midwifery. Research
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, of any nationality, are expected to develop competitive, independent research and meet the required criteria for successful application to national and international funding (ATIP Avenir, FRM, ANR JCJC
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optimization under targeted objectives. These approaches will be tested in flows of increasing complexity, including cellular flows, stationary, and fully developed turbulence. Practical information This work
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domains, fostering the acquisition of horizontal skills around presentation & communication skills, scientific English, protocol development, data evaluation, and training in Nutrition. A close link to lab
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, we take a systemic approach and study the interconnectedness of human activities and the environment. Our mission is to develop sustainable, socially just, and environmentally friendly solutions by
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. The objective of this postdoctoral project is to develop a unified, AI-compatible framework for non-neural behavior based on dynamical systems and learning. Behaviors will be modeled as low-dimensional dynamical
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. Côte d’Azur & INRIA), will be focused on the development and the understanding of deep latent variables models for unsupervised learning with massive heterogenous data. Although deep learning methods and
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typically around 200nm in the transverse plane and 400nm in the optical axis. Over the recent years, several super-resolution techniques have been developed to overcome this drawback. Among them we focus
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(UCA). He leads the eBRAIN research group and develops a interdisciplinary research activity on embedded Bio-inspiRed AI and Neuromorphic architectures, especially based on SNNs. LEAT is a mixt research