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group: MARIANNE (https://team.inria.fr/marianne/). The MARIANNE project-team pursues high-impact research in Artificial Intelligence with a focus on data and models for computational argumentation in
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long-term radionuclide retention in soils impacted by uranium mining activities and, more broadly, in NORM/TE-NORM environments. The candidate must: - Hold a Master's degree or equivalent in the field
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propose a research project within one of the project's three case studies: Soviet Kyrgyzstan: uranium mining, geological expertise and environmental transformation; The Tajik Pamirs: scientific expeditions
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Matériaux Absorbants à Base d’argiles Pour La Séparation Du CO2 Du Bio-Méthane. These de doctorat, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2025. https://theses.fr
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by industrial activities or former mining operations. In this area, the DRIS provides its expertise in site characterization studies and risk assessments for major development projects in France and
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co-author. This will involve, but is not limited to, constructing original databases (including the use of automated tools, e.g. webscrapping or data-mining techniques), collecting data through surveys
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. The institution, which has campuses in Brest, Nantes, and Rennes, is part of the Institut Mines-Télécom and falls under the French Ministry of Economy, Finance, and Industrial and Digital Sovereignty
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: https://www.list.lu/ How will you contribute? Do you have proven skills in data science, machine learning, as well as in optimisation? We are looking for a highly motivated and talented Engineer to join
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languages Excellent analytical and problem-solving skills Ability to work independently and in a team Scientific writing skills and motivation to promote result• Machine Learning and Data Mining Specific