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distribution of mid-ocean ridge earthquakes, quantify the associated energy release, identify clusters and mechanisms of interests and perform relative relocations on targeted event swarms. The seismogenic
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uncertainties (delays, resources, failures) using various methods, including Bayesian approaches. 3. Optimize the workshop configuration, taking into account scenario variability, by relying on the surrogate
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features to behavior using GLMMs/Bayesian models; conduct sensitivity and robustness checks. * Method validation: benchmark alternative pipelines (filters, burst detectors, forward/inverse models); perform
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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Complex sugars (CS) are key ligands for modulating the pharmacological properties of proteins, triggering specific cellular responses, and enabling targeted vectorization in biotherapies. There is therefore
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to its host and its persistence in order to identify potential therapeutic targets. This project aims to identify and validate the function of regulators or actors of specific metabolic pathways using
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that operate in aqueous environments - the engineering of polymers, nanoparticles, or nanostructures for targeted functions and applications. Team 2, entitled “Biopolymers and Bio-based Polymers,” is led by
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deposition at the plasmodesmata (PD) leading to PD closure, thereby constraining virus cell-to-cell movement. Unlike antiviral RNA silencing, which is also activated by viral dsRNA and targets viral RNA
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research contractors. Through the design and characterization of new materials, the laboratory's approach leads to the optimization of a wide range of properties for targeted applications. The position is in
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input fields and then regress on the target variables in the embedding space. However, many challenges remain to be solved with this approach (regarding the use of CNNs vs Vision transformers