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laboratories around the world. Opportunities abound for collaboration with leading researchers both in Europe and globally. Furthermore, you will join an international and welcoming team environment, where we
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preventing performance drop due to environment evolution. The challenge of course is that the capacity of such networks is very limited. Could the model be improved by training it on the devices, to remove
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enhance its adaptability and efficiency in distributed environments, particularly with IoT data. This will involve researching and integrating algorithms into the autoML pipeline, with a focus on optimizing
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Devignes and provides a multidisciplinary and international environment for students. The team benefits from experts in computational biology and structural bioinformatics, as well as in computer science
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and technological environment including comprehensive experimental core facilities (eg, neuroimaging, genetics, cellular), several animal models (eg, from nematodes to humans) and powerful centralized