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are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
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Identify and evaluate online‑measurable proxies (e.g., froth‑camera metrics, X‑ray fluorescence) for ore microstructures; conduct offline μXRF/TIMA analyses to simulate various XRF‑system configurations
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only) with a motivation letter, CV, copy of degree certificate, transcript of grades (i.e. the official list of coursework including your grades), and proof of English language skills by January 6, 2026
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interest in agentic AI, online learning and optimization, and applications in economics. The full-time positions (100%) are initially offered for two years, with the possibility of extension, depending
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of the school will be optimally trained and positioned in this emerging field. Partners of the school are DESY and Weizmann institute of Science, as well the Humboldt-University Berlin and University Potsdam
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, photon flux, and probe shape. Secondly, we wish to use the findings to optimize these parameters, and ultimately, improve ptychographic image quality. For the latter part it is important to compare
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under current conditions and with respect to global change scenarios. Embedded into the inspiring academic environment of IGB and the Universität of Hamburg, RTG 2530 provides Doctoral and Postdoctoral
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: Algebraic geometry and number theory Area 3: Stochastics and mathematical finance Area 4: Discrete mathematics and optimization Area 5: Discrete geometry Area 6: Numerical mathematics Area 7: Applied analysis
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limited field-of-view acquisitions Collaborate with beamline scientists to validate and optimize the LAT scheme About you: Master's degree in Physics/Mathematics/Computer Science or related subject
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research