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Field
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, usability, and insight into leakage dynamics across diverse constructions. Research Objectives The project is structured around three synergistic work packages: Descriptive Analytics: You will conduct a
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, and how sweat glands respond to different lifestyles, in particular sedentary. Objective of this project, in collaboration with Unilever, is to design, build and validate a wearable, flexible biosensor
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—specifically leveraging descriptive, predictive, and generative modelling techniques—to enhance test accuracy, usability, and insight into leakage dynamics across diverse constructions. Research Objectives
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the chance to make a real impact on global infectious disease management. The resulting toolkit will help public health labs worldwide detect and track fungal outbreaks swiftly and accurately
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the protein ligand(s). The 3D organisation of these domains is therefore critical for their function. The object of our studies is to gain a fundamental understanding of this incredible family of glycans
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and Urban Habitat) and was the recipient of the 2024 Award of Excellence in Innovation. Through generous support from WSP UK Ltd, the objective of this project is to extend the research conducted
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Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your
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PhD Studentship - Characterising the Nutritional Requirements of Professional Soccer Match Officials
provision within the PGMOL. Project aims and objectives This overarching aim of this project is to characterise the nutritional requirements of professional soccer match officials in order to devise specific
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against emerging threats. The proposed research question is: What design approaches enable an autonomous AI-powered red agent to effectively detect system vulnerabilities and emulate realistic adversarial
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands