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package according to the Marie Skłodowska-Curie / Innovative Training Networks rules. Eligibility criteria Have not been awarded a PhD. Researchers who have successfully defended their doctoral thesis but
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The IRPHE Laboratory specializes in fluid mechanics. It
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Engineering » Microengineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 31 Dec 2025 - 00:00 (Europe/Paris) Type of Contract Temporary Job Status
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Application Deadline 1 Nov 2025 - 00:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Networks in order to handle non-linear relationships between covariates and response variables. To this aim, the PhD student will join a consortium of researchers issued from different disciplines with a
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at the Doctoral School of Chemistry at the Université de Bordeaux. Initially, the candidate will be hired for 13.5 months (max.) as a Doctoral Candidate (DC) within the European Doctoral Network MultiSMART. The PhD
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at Ecole nationale des ponts et chaussées (ENPC), with access to state-of-the-art laboratories, computational resources, and a network of industry collaborators. The project offers opportunities
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The person recruited will carry out a doctoral thesis under the
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Decadent Food and Drink from the 19th to the 21st century We are recruiting a PhD candidate for a fully funded project within DECADOCS, a pioneering research and training program enabled by the Marie
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 3 days ago
, 3], significant challenges related to running complex AI algorithms such as Deep Neural Network (DNN) inference on lightweight platforms with limited computational power and relying on potentially