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nanoplatform to offer dual therapy.[3] In synthetic point of view, the project proposes to develop a library of such photoactive nano-assemblies and select the most efficient ones. In methodological point
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and constitute the first complete database for sublimation bedforms (experiments with condensation remain complicated to design, but we will look for solutions). Second, we will develop the analytical
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structures, functions, and ecosystem services of these coastal area. The post-holder will be encouraged and mentored to develop additional related topics if he.she have ideas that will complement the overall
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architectures to develop a more energy-efficient artificial intelligence. The most promising architecture is based on the mammalian brain, which can be 10,000 times more energy efficient than current computers
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dilution in seawater. Our knowledge of systems under extreme conditions in Earth Sciences and inorganic chemistry in Materials Sciences has enabled us to develop a protocol for immobilising these elements in
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within each other and with MS methods, remains unexplored. In this context, we have acquired several datasets using these fast 2D methods on a variety of metabolomics issues. We now need to develop a
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of the project is to develop a methodology for coupling single-impact electrochemistry experiments to luminescence measurements in order to detect soft entities (bacteria and liposomes) in real time. Several