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and data analysis. You will design, build and operate a cryogenic experimental setup in which gas composition, pressure, flow rate and surface temperature can be controlled. Using optical imaging
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with neurological disorders, yet its effects on everyday movement remain poorly understood. In this PhD project, you will combine cutting-edge physiological measurements, motion analysis and wearable
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in order to recruit 11 outstanding PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling
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). Full-waveform inversion is a powerful approach to such problems, but its practical use is limited by the strong nonlinearity of the inverse problem and by the computational cost of repeatedly solving
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cutting-edge physiological measurements, motion analysis and wearable technology to uncover how fatigue shapes mobility in daily life. This PhD project investigates how fatigue affects gait, balance and
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. Job description Wireless communication can make control systems cheaper and easier to deploy, but bandwidth and energy limitations, as well as vulnerability to cyber-attacks, restrict its use in
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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functional traits influence belowground microbial processes and carbon stocks remains limited. Soils store more carbon than the atmosphere and vegetation combined, so even small changes belowground can have
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on electrical and calorimetric efficiency measurement has the primary emphasis of: measurement-system design, sensor characterization, uncertainty analysis, converter testing and calorimeter development. The best
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differential equations (PDEs). Full-waveform inversion is a powerful approach to such problems, but its practical use is limited by the strong nonlinearity of the inverse problem and by the computational cost