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Field
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. Skills in computational modelling or machine learning applied to brain signals are an asset. We are looking for a highly motivated, rigorous and curious researcher who is ready to invest themselves in a
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, transformation groups, or smooth dynamical systems Outstanding research record, relative to career stage, in a related domain Ability to teach in English or French We offer Multilingual and international character
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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applications, for example in machine learning and mathematical statistics Participation in the scientific activities of the department, e.g. seminars, workshops and schools organised by the members
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expertise or interdisciplinary experience is a major asset. Scientific skills - In-depth knowledge of teaching strategies, learning models, and educational technology. - Proficiency in the psychology of well
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analysis. Candidates with partial experience in these areas but a strong motivation to learn are also encouraged to apply. Proficiency in R and Bash is required, but advanced training will be offered
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collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process
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Higher Education. Her core asset is her well connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking
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of the project is to exploit such data to develop generative models for aptamer design. The candidate is expected to have a strong background in machine learning and statistical physics, with a real interest for