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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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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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supercritical water (>378o C and 221 bar) with wastewater feed streams. This needs to generate residence times that are highly controlled and potentially measured in milliseconds rather than seconds or minutes
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will be augmented with atomistic structure data from electronic structure theory and STEM image simulations. All data will be combined into an automated workflow that predicts thermodynamically stable
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analysis, and information flow control Attributes and Behaviour Excellent organisational and interpersonal skills Proven ability to plan the work independently with minimal supervision and adhere to a time
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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
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experiments and randomised controlled trials, including the use of stable isotope approaches to measure muscle loss and the underpinning mechanisms, to investigate why GLP-1 drugs cause excessive muscle loss