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14 Jul 2026 Job Information Organisation/Company CNRS Department Institut de l'Audition Research Field Neurosciences Biological sciences Researcher Profile First Stage Researcher (R1) Application Deadline 3 Aug 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job...
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generation, targeted atomistic simulations, structural descriptor extraction, and predictive models. The work will aim to establish links between local pore geometry, structural disorder, sodium adsorption
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17 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire national des champs magnétiques intenses Research Field Physics Physics » Solid state physics Physics » Surface physics Researcher Profile First Stage Researcher (R1) Application Deadline 6 Aug 2026 - 23:59...
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Eligibility criteria The candidate must have a strong background in materials physics, atomistic simulation, or numerical modeling. Experience in molecular dynamics and handling force fields is required
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data and applied to public datasets, e.g. Fermi-LAT and DESI. The two postdocs will be recruited simultaneously and will work as a team toward a single joint pipeline. Position 1 — LSS forward modelling
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of artificial neuron network have been demonstrated based on single nanomechanical device. The main mission of this postdoc project, financially supported by IMITECH project, is to develop reservoir computing
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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2026, DOI: 10.1002/advs.202522243; Caron et al., BiorXiv 2026, DOI: 10.64898/2026.03.17.712317). The postdoc will be supervised by Dr. Giulia Bertolin, CRCN CNRS, and will work on the use of genetically
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project funded by the French National Research Agency (ANR), the postdoctoral researcher will contribute to the modelling of interfaces whose properties vary over time. The aim of the project is to develop
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase