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, granularity, semantics, attributes) using QGIS and Python for data exploration and preprocessing - designing an approach for automatic change detection using AI techniques (classification, clustering
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, this tool is not designed to reproduce full experimental workflows described in scientific papers; it necessitates some efforts to tailor it to our application. When being asked about reproducibility in
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, specifically designed for radiolysis studies, will be used to determine the nature and energy distribution of radiolytic species generated in water (hydrated electrons, photons, H• radicals, H₂O₂, etc.) under
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training environment, combining advanced scientific training, an openness to innovation, and strong interdisciplinary interactions. The PhD project will be carried out within the Nuclear Physics department
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designed for the selected application; 3) Understand and optimize the heat transfer mechanisms involved in order to maximize the process energy efficiency and the stability of the catalytic materials
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PhD in organic chemistry (M/F) – Development of self-optimizing flow reactors for chemical reactions
by Prof. F.-X. Felpin aims to develop a fully integrated flow platform designed to autonomously work from reaction discovery to optimization for scaling up through the massive use of digital
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, 2008), doping here undergoes a process of "stigma reversal" (Goffman, 1963): moving from an act of cheating contrary to the rules to the freely chosen adoption of a model rooted in scientific innovation
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the GPR images with and without leakage. Concretely, this doctoral project will aim to design a comprehensive GPR detection solution. Indeed, to implement this technique with high precision and obtain a
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Management, Université Grenoble Alpes), a top-tier European hub for engineering sciences and industrial innovation. The candidate will carry out their research within the G-SCOP Laboratory (Grenoble Sciences
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to the objectives of technological sovereignty, methodological innovation, and the structuring of CCI ecosystems by proposing a scientific framework for mastering the use of generative AI in cultural and heritage