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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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evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within
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: Computer science MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Distributed Algorithms – Fault Tolerance – Cloud computing JOB /OFFER DESCRIPTION We are looking for a young researcher interested in fault tolerance and
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research that combines experimental and theoretical approaches. Research covers a wide range of fields: Functional genomics, Developmental biology, Neuroscience, Ecology and evolutionary biology. Several
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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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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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the necessary data from numerical models and observations to build the dataset; Identify the algorithms best suited to learn the targeted behaviors; Train the learning models; Validate their ability to predict
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analysis, as many observed phenomena cannot be adequately modeled by stationary processes. The NOMOS project aims to develop a new generation of nonstationary models and algorithms for analyzing various
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Additional comments Applicants must hold a PhD in bioinformatics and/or evolutionary ecology. The selected candidate will interact and collaborate closely with all members involved in the project. Website
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to contribute to the development of fundamental aspects of computer science (models, languages, methods, algorithms) and to develop synergy between the conceptual, technological and societal challenges associated