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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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or joining thin-wall Titanium and Nickel alloys at high temperatures. Due to the unique material behaviours of these sheets and foils (0.1 mm to 0.5 mm thick), controlling variables in the forming process is
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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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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
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of these sheets and foils (0.1 mm to 0.5 mm thick), controlling variables in the forming process is challenging. Characterising the mechanical behaviours of thin foils at elevated temperatures is crucial in
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related disciplines. Applicants with track records or experience in system modelling, machine learning and control are highly desirable. How to apply Applications should be submitted via the Chemical and
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including biolayer interferometry, flow cytometry, high-content live cell microscopy and (in 2024) confocal microscopy. From 2025 the team will host a UK unique automated glycan synthesis platform. The
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In the process of laser shock peening (LSP), metallic structural components are hit by controlled laser pulses. The sudden vaporisation of material at the structural surface creates large magnitude