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to ensure robust and efficient energy conversion in challenging environments. The work will combine analogue/mixed-signal IC design, system-level modelling, and experimental validation of fabricated
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: MSc in materials science engineering. Backgrounds in chemistry, physics, computer science or a related area are also welcome. Good expertise or strong interest in numerical modeling, machine learning
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-efficiency converters based on SiC/GaN wide-bandgap devices and resonant topologies to achieve > 98% efficiency. You will design, simulate, and experimentally validate DC-DC and DC-AC converter prototypes
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topologies to achieve > 98% efficiency. You will design, simulate, and experimentally validate DC-DC and DC-AC converter prototypes for vehicle-integrated photovoltaics (VIPV) and PV-powered charging stations
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on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work in the Statistics section at the Delft Institute of Applied Mathematics (DIAM
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needs to be supplied with rigorous uncertainty analysis. The focus of this project is on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work
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candidate will gain training in chemical biology, molecular genetics and cell biology, and use physiologically relevant in vitro and in vivo models. The work will be carried out in an interdisciplinary
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positioned at the University of Twente in Enschede, the Netherlands and get introduced into the PhD trajectory and scientific working. You will alongside the developers of UT’s global crop water model ACEA
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you will: Develop a theoretical framework for designing accessible and inclusive infrastructure and wayfinding systems. Develop VR simulators for people with visual, hearing, motor, and cognitive
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. Options model for additional leave, pension, a bicycle or personal training. Moving allowance (subject to conditions). 30% rule for international employees (if applicable). Pension through ABP. Ample