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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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, etc.). Potentially, analysis of the National Alzheimer's Database (BNA) to provide a national perspective on the effects observed in the Méotis network data, subject to approval by the scientific
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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to the construction of the detector at the LNGS. Data taking should start in 2029. The subject of this postdoctoral position, funded by the CNRS for two years, is to prepare the analysis of the first data in order to
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of malaria parasites. We are especially interested in understanding the regulatory network orchestrating the original cell cycle that characterises malaria parasites and how checkpoint like decisions are made
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selecting teaching strategies - Designing and analyzing well-being measures - Experimental deployment on the LabNBook and UNESS platforms - Scientific analysis and publications The work will take
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macroscopic and nanoscale investigations on perovskite thin films and optoelectronic devices, in particular solar cells, in order to understand their metastability and the associated processes occurring