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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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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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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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30 Sep 2025 Job Information Organisation/Company Nantes Université Department TaRGeT Laboratory Research Field Biological sciences » Biological engineering Researcher Profile Recognised Researcher
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the cross-fertilization of research and teaching, is relevant to her country, is known worldwide for her research and teaching in targeted areas, and becomes an innovative model for contemporary European
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Description Host team & institute: BENAJIBA team - Identification and targeting of extrinsic regulators of myeloid malignancies -INSERM U1342 - Saint-Louis Research Institute Website:https://gencelldis.fr/l
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Host team & institute:BENAJIBA team - Identification and targeting of extrinsic
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2 Oct 2025 Job Information Organisation/Company Nantes Université Department TaRGeT Laboratory Research Field Biological sciences » Biological engineering Biological sciences » Biology Researcher