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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation
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to establish a research portfolio and technology roadmap around the remit of the development of AM processes, materials, AM process simulations, online/offline process monitoring and control tools as
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The oral tribology of alternative proteins School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Prof Tuck Seng Wong, Prof M Carre Application
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when necessary across all engineering disciplines; as well as the ability to manage workload and complete jobs in a timely manner as required. At all times work in compliance with the University’s
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Design and Evaluation of Pseudomonas aeruginosa virulence inhibitors for integration into healthcare biomaterials
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improvements in manufacturing performance for our customers. Our projects are collaborative and often complex, involving multiple partners, working on innovative technology to provide practical solutions
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any relevant area of Earthquake Engineering and should have a strong knowledge of probabilistic seismic hazard, vulnerability and risk assessment methods. The Research Associate will join an
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Computational photochemistry/Vibrational control in transition metal complexes
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therapies to patients that are highly effective. The PhD will work in both chemistry, cell biology and molecular laboratories designing and testing novel drugs. The candidate can be from either chemistry or
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New anticancer therapies based on transition metal complexes