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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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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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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
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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