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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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the needs of marginalised populations? If this sounds of interest, then we would welcome your application. In this role, you will work across several projects including- a randomised controlled trial of
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occurs. Insights from this research could greatly advance our understanding of AQP biogenesis and ER quality control. By identifying factors that promote proper folding and conditions that cause misfolding
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immunocompromised patients. Resistance is often acquired before patient infection through environmental exposure to fungicides, highlighting the urgent need for effective outbreak tracking and control. This PhD
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computational models that help us interpret and control how language is generated and understood by AI systems. The selected student will join the University’s vibrant research environment and will be encouraged
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variable acoustics room enabling reverberation times as well as room volume to be precisely controlled. The PhD studentship will support AURORA³’s early research activities, including e.g. validation
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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submission of progress reports; outstanding publication record etc.). High level of motivation and commitment to succesfully complete your doctoral studies within the anticipated time frame. Excellent command
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Control Research Institute at Faculty of Engineering which conducts cutting edge research using the Digital Twin Technology to accelerate electric propulsion system development. Applications are invited
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the joints and promoting neuromuscular stimulation through controlled perturbation. This gait retraining aims to reduce pain, improve mobility, and enhance overall function by addressing underlying