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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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- 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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to process the quantity of experiments conducted with one or more fish swimming simultaneously, on the one hand; and on the other hand, to implement a data fusion algorithm to improve the overall precision
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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
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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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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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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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opportunity to choose between two missions: • Mission 1: Improve new automated algorithmic schemes to quickly, efficiently and robustly detect and extract recorded geophysical signals related to earthquakes
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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