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28 Feb 2026 Job Information Organisation/Company Mines Paris-PSL Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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24 Feb 2026 Job Information Organisation/Company IMT - Institut Mines-Télécom Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Mar
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Information Work Location(s) Number of offers available1Company/InstituteMines ParisCountryFranceCityFontainebleau for Mines Paris and Paris for Institut Langevin and ENS Ulm Contact Website https
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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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: (a) Expression studies using in situ hybridisation in cavefish and surface fish to determine whether the candidate genes are expressed in the relevant brain regions, and data mining in our single
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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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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 2 months 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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University of Angers. More information here: https://www.univ-angers.fr/en/research/funding-and-projects/cap-europe/… Keywords: Computer Science – Semantic Web – Ontologies - Data mining - Data Integration
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mining, with particular emphasis on machine learning using recurrent neural networks for complex and difficult-to-process data: highly imbalanced or rare data, incomplete or missing data, distributed