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one of the most crucial issues of our time, against the worrying backdrop of biodiversity collapse. To contribute to this, the ECO-EVO BIODIV project aims to develop an integrative eco-evolutionary
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5 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire de Biologie du développement de Villefranche-sur-Mer Research Field Biological sciences Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Application Deadline 25 Sep 2026 - 23:59...
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Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-doctoral scientist in evolutionary genomics for studying fungal sex chromosomes using
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ecological, evolutionary, and genetic processes between hosts, pathogens, and vectors. MIVEGEC brings together 123 senior researchers, lecturers, engineers, and technicians from the IRD, CNRS, University
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» Algorithms Researcher Profile First Stage Researcher (R1) Application Deadline 8 Jul 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1
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, and spike-sorting algorithm development represents a key component of the project. The Neuromorphic Spike Sorter (NSS) algorithm was notably initiated and developed within this scientific environment
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: developing precise parton shower algorithms and studying their consequences in jet physics. - Develop a parton shower algorithm that is precise to the next-to-single log for ee collisions. - Extend
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16 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Informatique de Lens Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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11 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de l'Ecole Polytechnique Research Field Computer science Mathematics » Algorithms Researcher Profile First
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consensus. The successful candidate will develop the algorithmic foundations of this framework—making the motion-generation stack modular and heterogeneous (combining model-based control with learning-based