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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address
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of biophysics, non-equilibrium statistical physics, and cancer biology. Its objective is to understand how stochastic fluctuations and cell-cell interactions combine to drive the spontaneous emergence
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Bourgogne (Dijon), to develop and apply mathematical results to better understand the diversity of your corpus and interpret this diversity in terms of networks, thereby shedding light on the circulation
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