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IMT mines Alès, Mines Saint Etienne (50%/50%) | Ales, Languedoc Roussillon | France | about 2 months ago
9 Jan 2026 Job Information Organisation/Company IMT mines Alès, Mines Saint Etienne (50%/50%) Research Field Medical sciences Computer science » Database management Engineering Researcher Profile
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24 Feb 2026 Job Information Organisation/Company IMT Atlantique Research Field Computer science » Computer systems Computer science » Informatics Computer science » Other Computer science » Systems
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science » Computer systems Computer science » Modelling tools Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 May 2026 - 23:00 (Europe/Paris
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contract – 2 years Candidates must hold a PhD, in Industrial Ecology, Process Engineering or Mining Engineering, with demonstrated link/application to the mineral raw materials sector. The candidates should
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9 Jan 2026 Job Information Organisation/Company IMT Mines Ales Department Human Ressources Department Research Field Engineering » Systems engineering Researcher Profile First Stage Researcher (R1
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20 Feb 2026 Job Information Organisation/Company Université de Pau et des Pays de l'Adour Department SIAME Research Field Engineering » Computer engineering Physics » Computational physics
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14 Jan 2026 Job Information Organisation/Company IMT MINES ALES Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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Ecole des Mines de Saint-Étienne | Gardanne, Provence Alpes Cote d Azur | France | about 1 month ago
19 Jan 2026 Job Information Organisation/Company Ecole des Mines de Saint-Étienne Research Field Biological sciences » Biological engineering Engineering » Electronic engineering Engineering
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/develop predictive models that can inform future land management and conservation strategies. Responsibilities • Data mining: Compile, review and complete pollen data and age-depth models from existing
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for Horticulture and Phenotyping) team research topics focus on low cost computer vision and machine learning, simulation assisted plant phenotyping and machine learning based data mining for plant biology