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cluster. Access to Jean Zay is also possible. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8190-SARSAF-005/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent
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): the doctoral candidate will work to SAFRAN's site in Colombes (France). Objectives This PhD project aims to investigate the influence of ceramic shell microstructure and cluster architecture on the thermal shock
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Plasmodium genomic data analysis; see https://mrc-ide.github.io/PGEforge/. Data partitioning: The 24,409 analysis-ready samples will be extracted and partitioned into subsets by country (since this is the most
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Institute for Translational Medicine and Liver Disease (ITM), Inserm U1110 | Strasbourg, Alsace | France | about 2 months ago
development, as part of the ENACT program (https://cluster-ia-enact.ai/). This position will bridge the gap between fundamental research, teaching, and innovation by combining multiple disciplines and partners
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Positions PhD Positions Application Deadline 28 Jul 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU
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22 Jul 2026 Job Information Organisation/Company Nantes Université Department SUBATECH UMR-CNRS 6457 Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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l'Environnement (IGE, http://www.ige-grenoble.fr ) is a French public research establishment under the supervision of CNRS Terre & Univers, IRD, Université Grenoble Alpes (UGA), Grenoble-INP and INRAE. It employs
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5253) is one of the four institutes of the Balard Chemistry Cluster. The Department of Materials Chemistry, Nanostructures, and Materials for Energy brings together around 70 researchers, faculty members
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provides access to clusters comprising several tens of thousands of computing cores within one of France's largest regional mesocenters for scientific computing. This PhD project is funded within
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observables, including: the spatial distribution and migration of seismicity, magnitude-frequency statistics and temporal clustering, source properties (strain drop, duration, moment-duration scaling), and