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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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associated with phenotypic (biomechanical and metabolomics) traits. Estimate locus-specific effect sizes and quantifying genetically-driven phenotypic variations. Develop Bayesian models and/or deep learning
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maximum likelihood and Bayesian inference frameworks. - Data mining in genome databases. - Large-scale phylogeny reconstruction (archaea, bacteria, and eukaryotes). - Implementation of complex sequence
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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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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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evidence in clinical practice guidelines and feasibility of generating evidence from target trial emulations). "CPG-EMULATE" is a research project funded by the French National Research Agency (ANR) and
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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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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | 2 days ago
particles - in promoting inflammation and fibrosis, and work to identify specific biomarkers of exposure and associated risks in human and mouse models. Develop and evaluate therapeutic strategies to target
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gene therapy, vaccine development, and genome-wide CRISPR screens. They a also a promising therapeutic target, as interfering with genome packaging could inhibit viral propagation while reducing the risk