The candidate will work at the Laboratoire de Physique Théorique UMR 5152 CNRS - Université de Toulouse . They will be registered with the École Doctorale des Sciences de la Matière..

The thesis project will focus on the study of the impact of out-of-equilibrium molecular activity on cellular properties and organization, such as enhanced diffusion. The student will combine experimental approaches with physical modeling to quantify activity and diffusion dynamics. By incorporating machine learning, the project aims to classify and analyze activity patterns, leading to a better understanding of the physical principles governing active matter at the cellular scale. This interdisciplinary approach will link data-driven analysis (variational autoencoders), experimental measurements (optical tweezers and microscopy) and theoretical models (stochastic thermodynamics) to elucidate the role of non-thermal fluctuations in shaping cellular behavior.
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