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inference. We are looking for a PhD student with a strong interest for evolutionary processes and good computational skills. Programming experience is a prerequisite, and experience using the programming
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cell tracking to identify the progenitors of these cells during regeneration. • Develop and apply a recombinase-based cell barcoding strategy to trace cell lineages during leg growth and regeneration
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, and lineage-specific dynamics. Assess congruence and robustness of phylogenetic reconstructions using Bayesian inference, parsimony, and tip-dating, and evaluate their impact on macroevolutionary
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, optimization, dynamic systems, decision theory, Bayesian inference) ● Is motivated to apply these methods to ecological, evolutionary, and conservation systems; ● Is comfortable with uncertainty, modeling
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, hydro-acoustics, data science, geodynamics, geophysics, statistics, Bayesian inference ⁃ Experience with statistical analyses and machine learning techniques ⁃ Programming in C / python / Julia
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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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parameter estimation using Bayesian inference, and/or the exploitation of Machine Learning (ML) based algorithms to reduce false positives caused by human generated interference signals in the observational
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canopy height inference methods accurately represent the variability observed in Central African forests. The research associate will work at the CNRS in Toulouse and will be involved in the activities
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to infer laminar burning velocities by extrapolation) will be quantified by sampling multiple DNS. This work aims to enable the robust inference of kinetic parameters directly from simulations
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://ecoanthropologie.fr/fr/anthropologie-genetique-agene-6043 ), whose research focuses on three areas: (i) settlement history and inference of demographic processes, (ii) adaptation of human populations