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that incorporate horizontal transfers, and to use these models to obtain statistical estimates of the main evolutionary dynamics of TE families across species (for example, horizontal transfer and extinction rates
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4 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique de modélisation et d'optimisation des systèmes Research Field Computer science Mathematics » Algorithms
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develop machine learning approaches (deep learning) to understand the eco-evolutionary mechanisms underlying biological diversity from environmental (phylo)genomic data. - Methodological developments in
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to the Bioinformatics, Phylogeny and Evolutionary Genomics (BPGE- https://lbbe.univ-lyon1.fr/en/bioinformatics-phylogeny-and-evolutionary… ) team at the Laboratory of Biometry and Evolutionary Biology (LBBE) and will be
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and evolutionary constraint. A significant part of the work will focus on setting up and managing an innovative 'microbiome' platform. The researcher will be specifically responsible for developing
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use and further develop ptychography algorithms for transmission electron microscopy data
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- species interaction networks - life-history traits - coding eco-evolutionary models - data analysis - interpreting and exploiting results - writing scientific publications - oral presentations
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2 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique et des Systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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-luminosity phase of the LHC. The successful candidate will work in close collaboration with other members of the Particle Physics team, and with members of the Computing, Algorithms and Data team at L2IT
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1997, Schemske 2009), that ultimately also increase speciation rate. Although this 'biotic interaction' hypothesis is well known in evolutionary biology, it has not been properly tested at a global scale