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Field
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/funding reference: PID2021-124030NB-C31 Job title: Optimization, learning, and cooperation with applications in logistics Research line / Scientific-technical services: Optimization in transportation and
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between things, developing the mathematical and computational foundations for optimal information transfer between surfaces and volumetric current distributions in complex scattering media. The research
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such as satellites, LEO constellations, fixed links, automotive radar, and Earth observation stations, using techniques from signal processing, communications theory, optimization, and AI. You will join the
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25 Dec 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Mathematics » Applied mathematics Mathematics » Computational mathematics Physics » Optics
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, the data-driven method will be developed to inform low-order mathematical modelling of noise-generating dynamics and control strategies, which will lead to an optimal reduction of noise emissions
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science, mathematics or engineering discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree. Please note
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; • Definition of criteria and mathematical modeling of the multi-criteria layout optimization problem; • Development of a network simulation platform, considering different AC and DC connection technologies
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, patient motion, and more. Today, these parameters are either manually configured, heuristically optimized, or compensated post hoc using multi-level calibration scans or corrections, which introduces
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finance, as well as strategy consulting, operation research, optimization, and AI/ML labs. Admission profile Highly qualified and motivated candidates with MSc degrees in Mathematics, Computer Science
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration