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sources (in vivo imaging, in vitro experiments, correlation, and regression). In particular, magnetic resonance imaging (MRI) will be used both to construct the finite element model and to characterize
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, if possible with a focus on modelling/numerical simulations. • A good level of Python programming is required. • A level of scientific English sufficient to conduct research and build international
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thesis is the following: How can these imperfect data sources be jointly exploited to build a unified, consistent, and enriched representation of urban water networks, while enabling anomaly identification
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and digital layers, and the emergence of weakly observable anomalies make monitoring modern microgrids more difficult. Technological challenge: Traditional microgrid protection and monitoring methods
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Research Unit jointly operated by the CNRS and the University of Lille. Founded in 1998, it builds on more than sixty years of scientific excellence in Lille in the study of light–matter interactions. Its
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artificial intelligence methods capable of predicting conformational ensembles of intrinsically disordered proteins directly from their amino acid sequences. The project will build upon recent advances in deep
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well as 110 PhD students and post-docs. Thanks to Institut de chimie of Lyon it has access to many technological platforms for characterizations. The thesis will mainly take place in its building located
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, cell biology, and tissue engineering. The project builds upon the complementary expertise of LAAS-CNRS and the RESTORE research center. LAAS-CNRS will provide expertise in microfabrication, microfluidic
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artistic devices can make these otherwise invisible biological phenomena perceptible and stimulate new ways of questioning the relationships between matter, living systems and the environment. This dimension
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microscope, which has allowed us to demonstrate top-down integration in photonic devices. The thesis is part of ANR project starting in 2025, which builds upon recent experimental demonstrations from the host