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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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three sites on the Grenoble university campus, all within a 5-minute walk of each other. It is one of the leading institutes of the Grenoble University Space Observatory (OSUG), a federative structure
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aggregation assays is a plus Well-structured and autonomous working style, good organisational and communication skills Team player Early-stage researcher: a researcher without a PhD who has graduated in
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(reproduction, firing, documentation); • Contribute to the development, updating, and long-term structuring of an interactive ceramic database throughout the project; • Take part in field surveys aimed