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with pili by proteomic Mass Spectrometry analysis of extracted pili/whole bacteria. Three months in Y3 with the industrial partner Corti (Norway) to develop and test anti adhesion strategies based
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
-doctorate (CEA LIST) will aim to develop numerical modeling of Non-Destructive Testing (NDT) on the virtual grain structures obtained. Context: In the nuclear industry, the integrity of welded components is
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for proof of level. An official degree conducted in English will be also accepted as a proof). If the applicant is unable to provide proof, an English test (free of charge) will be requested. Compliance with
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of application a scanned copy of standardized English test results (TOEFL, TOEIC,) if available HOW TO APPLY: Jerome.wenger@fresnel.fr Where to apply Website https://academicpositions.com/ad/aix
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for proof of level. An official degree conducted in English will be also accepted as a proof). If the applicant is unable to provide proof, an English test (free of charge) will be requested. Compliance with
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Grenoble Observatory of Universe Sciences (OSUG) and a joint research unit (CNRS, UGA) with approximately 170 staff members and numerous temporary employees. https://ipag.osug.fr/ The CHARM team, led by
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. Exchanges with European project partners could make it possible to test new strategies. Where to apply E-mail job-ref-rbbjybchhc@emploi.beetween.com Requirements Research FieldEngineeringEducation LevelMaster
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
curly fibers. Additionally, in many cases, the underlying model for the simulation is not systematically tested for its validity. To bring a breakthrough on the realistic simulation of frictional fibers
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learning. Work carried out during the Master's internship has already identified strong trends and tested statistical and machine learning approaches. The thesis will aim to consolidate and update
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knowledge production, value transmission, and shaping sustainable futures. Testing this methodology in academic institutions aims to create a replicable framework for diverse organizations, helping them align