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a highly motivated researcher associate (M/F) with strong background in computational structural biology. The successful candidate will be working on developing AI-based computational approaches
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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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been designed at low Reynolds number, when the flow is mainly populated by small-scale structures. However, as the Reynolds increases, these control strategies become rapidly inefficient
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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
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the PhD student consolidation of results, synthesis, drafting of a user manual and industrial construction recommendations Target result: creation of a characterisation bench prototype, validation, drafting
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capabilities of stakeholders by suggesting relevant arguments, retrieved from the web, and facilitating a good grasp of a debate thanks to an automatically generated and structured synthesis of the most salient