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quality monitoring system. Potential applications will initially focus on drinking water distribution networks. The main sources of water pollution are relatively well documented in the literature
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and test whether epigenetic therapies can remodel ITH to enhance anti-tumour immunity and reduce metastatic potential. This is Project 7 of the Doctoral Network spaXio, see below. This project is part
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, technicians, and staff. Each year, many undergraduate and graduate students, PhD candidates, postdocs, and visiting scientists join its activities. Research at LPS covers a broad range of condensed matter
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- Rad) provide continuous but coarse radiative fields (5–30 km). High-resolution sensors such as Sentinel-2, Landsat, ECOSTRESS, and SDGSAT-1 offer fine spatial detail but sparse temporal coverage and
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in quantum clocks and sensors. The network offers international secondments, joint training events, and close interaction with an international cohort of doctoral fellows. The doctoral candidate will
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between the simulator and sensors located in the operating room. This will require implementing data acquisition algorithms and data processing algorithms within the simulator. The second point concerns
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of operating with a very limited number of sensors. The core concept relies on signature-informed modeling. The principle is to extract only essential and robust information about key parameters of interest from
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and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
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of Higher Education and Research (MESR). PINNACLE: Physics-Informed Neural Networks for Accelerated Cloud Light-Scattering Emulation Artificial intelligence is profoundly transforming atmospheric
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obtained from multi-sensor networks across urban areas. A novel synergy approach will be developed that combines observations of thermal stratification from microwave radiometers, profiles of wind and