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on the development of a calibrated agent-based HIV epidemic simulation representing populations in the U.S. South. The model will incorporate realistic network structures, behavioral dynamics, treatment uptake and
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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Responsibilities Develop and formulate new simple and complex fertilizer products Contribute to the optimization of fertilizer formulations to improve nutrient stability, homogeneity, physical quality, and agronomic
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, and post hoc support for laboratory studies and provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal
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fundamental science, understanding structure-property relationships at multiple scales to applied engineering, creating sustainable solutions for key industrial and environmental challenges. We aim to drive
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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two complementary research groups - Advanced Doped Diamond Materials (AD2M) and Gas Sensors and Functional Materials (GSFM) - the department develops high-quality thin films with tailored structural
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. Empa is a research institution of the ETH Domain. Empa’s Centre for X-ray Analytics develops X-ray analytical and imaging methods for understanding materials structure in material, life- and medical
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position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in