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, clustering analyses, propagating location and other uncertainties...) of mid-ocean ridge catalogs, using standard, Bayesian and machine learning techniques. ⁃ Implement methodologies that improve estimates
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appreciated. - Advanced statistical modeling (GLMMs, state-space models, stochastic Bayesian programming) in R - Experience with bioinformatics, if possible experience in the use of RAD-seq and/or lcWGS data
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process. Understanding the transport properties of these currents is therefore crucial for addressing environmental and public health challenges. The main objective of this PhD project is to characterize
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(publications, conferences). The research activities and objectives are to : - Document the abundance and diversity of phototrophs in clouds, with a focus on diatoms, their pigments and their potential
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within the LTDS's “Geo-materials and Sustainable Construction” team at ENTPE. The PhD candidate wille be part of the research team on the behavior of road, rail, and airport pavement materials and
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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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-… ) at the Psychology and NeuroCognition Laboratory (CNRS UMR 5105), and is part of the ANR-funded RePer-AGE project. The main objective of the RePer-AGE project is to significantly advance our understanding
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(fMRI), and eye-tracking measurements (main task) – Data analysis (main task) – Interpretation of results (main task) – Dissemination of findings through the writing of scientific articles (main task
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conduct directional freezing experiments coupled with confocal microscopy to study the freezing stability of soft objects. They will develop methods for the preparation and physicochemical characterization
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accelerators. The main objective of the postdoctoral project is the design, optimization, and implementation of compact focusing optics and beam diagnostics tailored to the specific characteristics of electron