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of the Earth and the near Universe. It comprises about 170 people (Researchers, teacher-researchers, engineers, PhD students...). It is spread over 2 sites: the CNRS Azur campus in Valbonne Sophia Antipolis and
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, clustering analyses, propagating location and other uncertainties...) of mid-ocean ridge catalogs, using standard, Bayesian and machine learning techniques. ⁃ Implement methodologies that improve estimates
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in the Earth's outer core, with implications for deep Earth processes [1]. A variety of inverse methods (data assimilation, machine learning, etc.) has been employed to recover the fluid motions in
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physics groups, as well as the DELPH (Detection and Lasers for Physics) and GTA (Acquisition Techniques Group) groups. The Physics Division is composed of 25 permanent physicists, around 20 PhD students and
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plus - Good writing skills and oral expression in english (at least B2) - Scientific rigor and curiosity Technical skills : - Required: PhD or engineering degree in deep learning - Required: good
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copolymers, which will then be evaluated for their degradability and mechanical properties. Using active learning, a branch of AI, the research will be guided through the large parameter space of copolymers
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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environment and a wide range of skills and knowledge to acquire on parasite biology. The University of Montpellier was founded in 1220 and is one of the oldest universities in the world. With over 50,000