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About us The Electrophysiology and Heart Modelling Institute (Liryc), a University-Hospital Institute based in Bordeaux (France), is a major actor in research, innovation, healthcare and education
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9 Oct 2025 Job Information Organisation/Company CNRS Department Centre d'écologie fonctionnelle et évolutive Research Field Biological sciences Environmental science Researcher Profile First Stage
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opportunities to engage in scientific activities both in Luxembourg and abroad, including seminars, summer schools, conferences, and more. The postdoctoral fellow will be working on developing multi-scale and
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silicate melts. The sub-sequent missions will be decided with the candidate. The candidate will use internally heated pressure vessels, piston-cylinders, multi-anvil and diamond-anvil presses plus many
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1 Nov 2025 Job Information Organisation/Company CNRS Department Centre de Recherche sur la Biodiversité et l'Environnement Research Field Biological sciences Environmental science Researcher Profile
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methodology such as Thermodynamic modelling of multi-component planetary degassing/ingassing, Molecular Dynamic simulations of silicate melts, Petrology of melting of exoplanetary mantles, and the partitioning
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Morlon's group at the Institute of Biology of the École Normale Supérieure (https://www.ibens.bio.ens.psl.eu/ ). The IBENS is a multidisciplinary research center in Biology with more than 300 staff members
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metastases. spaXio combines cutting-edge methods like spatial multi-omics, 3D tumoroid models, and AI-powered data analysis to uncover how metastatic niches form and how they might be targeted therapeutically
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prominent national and international player in the field of integrated structural biology. As a research center, technical platform, host site and scientific training center, the IBS is committed to develop
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 9 days ago
Cancer Research Center. The team has access to several computing facilities (e.g. IGRIDA cluster) and established collaborations with other Inria/Irisa research teams in the field of machine learning. Our