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Field
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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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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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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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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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for Quantum Computing Analytics (PGI-12) is to model and improve quantum computing systems on multiple levels. From optimal control of the hardware, over error mitigation and compilation, to application
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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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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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. 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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open standards and structured APIs. Hosted at TU Eindhoven, OpenML serves over 300,000 users, has supported over 2,000 scientific studies, and won the Dutch Data Prize. We are looking for an excellent
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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