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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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promotion (oral presentations, articles), • Development of ontologies and inference rules, • Participation in the implementation of validation scenarios in simulated environments. L'équipe « Robotique et
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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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Bioinformatics expertise of Dr. Raimondi on the development of GI NN methods and their application to relevant biological problems with the expertise of Dr. Bry and Dr. Trottier on the statistical inference
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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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of the Drosophila wing disc and observing their opening patterns, we can infer incompatibility. This will allows us to integrate insights from cell-level and tissue-level work into a 3D continuum model
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for high-dimensional learning and generative modeling. Research interests span representation learning, statistical inference, privacy, and generative models with applications in physics, audio, vision, and
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comprehensive framework for exploring the interactions between viruses, hosts, and the environment at a global scale. This analysis will be inferred from the large amount of data deposited in the Peta-bytes
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causal inference methods (e.g., directed acyclic graphs) would be an asset Fluent in reading, writing, and speaking scientific English Required Skills : Experience in data management and analysis of cohort
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methods for causal inference. Nature Communications, 14(1), Article 1. https://doi.org/10.1038/s41467-023-37194-5 Delalandre, L., Gaüzère, P., Thuiller, W., Cadotte, M., Mouquet, N., Mouillot, D., Munoz, F