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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
salary: 2 300 € Selection process Please send your CV and cover letter. Website for additional job details https://jobs.inria.fr/public/classic/en/offres/2026-10219 Work Location(s) Number of offers
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scientists: Charlene Lasgi and Leanne De Koning). The bioinformatics part will be done at the IBPS with the PhD student in collaboration with M Doulazmi, IR CNRS (0000-0002-0313-1490) an expert in
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Processes (https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories in
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The i3S laboratory (https
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/or experience in microfluidics and image processing. Strong interpersonal skills, teamwork, scientific curiosity, and ability to synthesize information. Where to apply Website https://emploi.cnrs.fr
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. Preferred: background and/or experience in microfluidics and image processing. Strong interpersonal skills, teamwork, scientific curiosity, and ability to synthesize information. Where to apply Website https
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are burned for the production of energy. Indeed, during the extraction process of cellulose, hemicelluloses are degraded and solubilized in the effluent of the process, called, the black, liquor. This liquor
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at the Laboratory for Biometry and Evolutionary Biology (LBBE) in Lyon, France (https://lbbe.univ-lyon1.fr/en ). The LBBE comprises approximately 200 people; the research conducted there is based on three pillars: (i
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become part of a laboratory that covers a wide range of fields, from statistical physics to hydrodynamic turbulence, including mathematical physics and signal processing, as well as soft and condensed
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these processes requires AI and bioinformatics methods able to integrate heterogeneous, high-dimensional data. The ShadowEV-GBM project brings together spatial omics, metabolomics/lipidomics, molecular profiling