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(LPSC, http://lpsc.in2p3.fr ) is a mixed research unit, combining CNRS-IN2P3, the Université Grenoble Alpes (UGA) and the Grenoble INP engineering and management schools network, and gathering around 230
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 10 days ago
the Thoth project team (https://thoth.inrialpes.fr/ ) within the Inria Centre at Université Grenoble Alpes (https://www.inria.fr/en/inria-center-universite-grenoble-alpes ) to work under the supervision
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» Biological engineering Researcher Profile Recognised Researcher (R2) Application Deadline 23 Oct 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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performance, building on recent advances in normal forms for counting. The PostDoc is responsible for personally carrying out research, but it is also welcome if i would assist in guiding and instructing other
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10 Oct 2026 Job Information Organisation/Company CNRS Department Laboratoire Réactions et Génie des Procédés Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher
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10 Oct 2026 Job Information Organisation/Company CNRS Department Sols, solides, structures, risques Research Field Engineering Physics » Acoustics Engineering » Materials engineering Researcher
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later depending on funding. Additional information can be found at: https://sites.google.com/site/brandobellazzini/home https://www.ipht.fr/en/pisp/stefano-de-angelis/ https://carloheissenberg.com/ https
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engineering Researcher Profile First Stage Researcher (R1) Application Deadline 23 Oct 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 6 days ago
representations without relying exclusively on manual feature engineering. Benchmarks such as RelBench have made this research direction more concrete by providing realistic relational datasets and prediction tasks
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on their morphology. A step to optimise the image processing parameters, which will help to obtain average 2D classes, will then be necessary. Subsequently, it will be possible to verify the quality of the 2D classes