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17 Jan 2026 Job Information Organisation/Company CNRS Department Centre de recherche sur l'hétéroepitaxie et ses applications Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Application Deadline 6 Feb 2026 - 23:59 (UTC) Country France Type of...
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opportunities for machine learning to address outstanding biological questions. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method
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in the laboratory and will be responsible for monitoring the project with the industrial partners. The study focuses on the development of air and water purification processes using MOFs that can be
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-Nanostructure Architectures. This interdisciplinary project in electrochemistry involves the development of novel living/inorganic interfaces for energy conversion and electrocatalysis, targeting important
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with Novel upscaling assisted by artificial intelligence) project financed by PEPR DIADEM (a public funding program on the development of innovative materials using artificial intelligence). The relevant
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. The development of offshore wind farms is essential for the energy transition, but it also raises questions about its impact on the marine environment. Each wind farm exerts different pressures on the environment
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 18 days ago
advances in the field of paleogenetics have opened promising perspectives to measure the impact of these dynamics on the epidemiology and evolution of pathogens in the past, by allowing the identification
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BeFC and Univ. Grenoble Alpes, CNRS, 38000 Grenoble, France | Grenoble, Rhone Alpes | France | about 7 hours ago
, the advanced functionalisation of conductive materials and activation of biological catalysts remains at the lab-scale, and the development of pilot scale technologies is still in its infancy. BeFC SAS, a CNRS
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Plasmonic catalysis has been a rapidly growing research area since the 2010s. Based on the confinement of light within metallic nanoparticles, it holds great promises for the development of sustainable
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provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking