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the supervision of students (interns and/or PhD candidates) -preparation of scientific publications and progress reports -presentation of results at national and international conferences This work will be carried
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to learn and retrace longer and more varied visual paths, particularly those accessible to legged robots. Approach This PhD project draws inspiration from the visual strategies of invertebrates (e.g., ants
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, or roundabout navigation will be considered. In this work, we also aim to explore the use of machine learning approaches [1][2] to personalize the driving system according to individual driver preferences
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computational fluid dynamics. • Experience in modeling, uncertainty quantification, or statistical methods. • Experience in data science or machine learning is considered an asset. • Experience with high
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and 2 PhD students. The CEISAM encompasses all the research activities carried out in the area of molecular and material chemistry in Nantes and its surroundings. The CEISAM Institute is located
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/Emissive. It will be articulated with a research engineer in computer science responsible for the computational formalization of the design space, the PhD student in psycho-ergonomics responsible for usage
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to publicly available data, in particular from DESI/Euclid and the Fermi-LAT telescope. Qualifications: Applicants should have: a PhD in cosmology or astrophysics (completed by the start date), demonstrated