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generation (natural hydrogen, geothermal energy, and minerals). The aim of the Post Doc project is to assess how the initial structure and thermal state of the continental lithosphere is influencing
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framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
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of the materials, with particular emphasis on the distribution of the binder at grain–grain contacts and within the intergranular space. - Analyze the mechanical behavior of granular assemblies, at both the contact
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conditions. - Determine the Drug-to-Antibody Ratio (DAR) and characterize the Drug Load Distribution (DLD), when required. - Apply, when appropriate, bottom-up, middle-up/middle-down and top-down strategies
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criteria The candidate must have some experience and a strong knowledge of artificial intelligence (AI) applications of the following fields: nonlinear analysis (gradient flows of probability distributions