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natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The selected
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or computational linguistics focused on natural language processing. Two to five years of experience is required. Experience in the civil service would be appreciated. Solid experience with neural language models
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adults by targeting key moments in the cancer journey where inequalities are likely to occur: before diagnosis, during the treatment decision-making process, and the active phase of treatment. We
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natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The selected
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project combines techniques from machine learning, natural language processing (NLP), and knowledge representation to support legal scholarship and decision-making. The position entails close academic
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in novel versatile catalysts with enhanced reactivity for medical and/or environmental applications. Such mini-catalysts are inspired on natural metalloproteins in which their reactivity is expanded by
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Design and execute experiments, analyze data, and write reports Excellent communication and writing skills in English Specific Requirements Genetic engineering, microalgae cultivation, process engineering
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desirable Good knowledge of the Luxembourgish social sector as well as the structures of non-formal education in Luxembourg is an asset Proficient in data processing and analysis software (e.g., Atlas.ti
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programming. - Interest in natural hazards, particularly gravitational processes. - Doctoral and/or post-doctoral experience in one or more of the following fields: remote sensing, geophysics, natural hazards
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30 Sep 2025 Job Information Organisation/Company Université Grenoble Alpes Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country France