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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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separation, fractionation, and formulation of biomolecules (sugars, proteins, polyphenols, pigments, lipids, etc.). His/her activities will focus on the design, modelling, and optimization of physical
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intelligence models applied to the analysis of post-genomic, metabolomic, and microbiota data originating from GEC projects and those of the Sorbonne University Alliance, including the Global Health Institute
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curriculum in the engineering program. As part of the dual process of consolidating the program and increasing its enrolment, some courses will be created and others expanded. The teaching model needs to be
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required. Evaluating the actual impact of these strategies on grid performance and system reliability necessitates detailed power flow analyses based on realistic distribution network models. Accordingly