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Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
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the Clean Energy Processes (CEP) Laboratory . The CEP team conducts research on fundamental aspects of thermodynamics, fluid flow, heat and mass transfer processes with applications to the development
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Requirements: very good or good university degree in physics, meteorology, fluid dynamics or comparable Description of the PhD topic: (subproject T7) In Urban air mobility, a high wind sensitivity of UAVs
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Technology and Logistics and co-supervised by at least one additional professor plus an international tutor of the RTG Requirements:very good or good university degree in physics, meteorology, fluid dynamics
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cutting in the production facility. Establish a numerical model to simulate the glass cutting process. Design experimental measurements and assist in the integration of sensors in production. Acquire
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degree (2.1 +/MSc) in mechanical / civil engineering, acoustics, materials, or related; aptitude for experimental measurements and cost-benefit analysis; creativity in sustainable design General
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& microstructure with experimental observations of fatigue failure in AM samples under aggressive/corrosive environments. The goal is to establish causal pathways for understanding failure in AM components
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cell and stack using experimental data and advanced modeling techniques. Propose and implement improved operation modes to minimize degradation effects and enhance performance. As part of the PhD
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. The approach will be validated by application to industrial production at a partner company. The position includes both theoretical and experimental work and carries project as well as academic responsibilities
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imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image processing) analyzing experimental results; developing conceptual models and