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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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phylogenetic and adaptive signals, providing a rich fossil record for evolutionary studies. This project integrates fossil and extant data using morphological phylogenetics and advanced tip-dating methods
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MGE. The successful candidate will develop molecular, genomic and evolutionary approaches to better understand how MGE mediate resistance against, and coevolve with, virulent phages in Escherichia coli
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whom are permanent staff. It conducts research in the fields of evolutionary genomics, paleogenetics, anthropology, and evolutionary medicine (see https://cagt.cnrs.fr/ Where to apply Website https
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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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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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with low-depth sequenced whole genome data. These data could help refine the study of inbreeding, estimate past effective population sizes, and potentially test an evolutionary response to the current
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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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(MERCE). The main objective is to develop safe planning and reinforcement learning algorithms with various degrees of confidence for variants of Markov decision processes. More precisely, we will develop
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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