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the transition to a full-time training model, and how these demands can be best managed to maximise adaptations and performance, and mitigate injury risk. The successful candidate will audit the current scientific
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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treatments of dry fibers, such as UV or atmospheric plasma; the addition of nanoparticles to the resin; and the integration of materials like carbon fibers, carbon nanotubes, carbon black, graphene
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural
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, multi-source learning is used to integrate diverse patient populations to build robust models, but having to protect sensitive information. Various modern ML paradigms are proposed to address the diverse
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maritime and autonomous. You will have a prior background in naval architecture, ocean engineering and mechanical engineering. You should be already familiar with the majority of simulation and experimental
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tuition fees will be paid. We expect the stipend to increase each year. The start date is January 2026. This PhD project aims to investigate the drivers of atmospheric oxidation in the tropical marine
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vehicles, data centers, etc.). These devices are mostly power electronic interfaced introducing new types of dynamic phenomena and the need for more detailed models, increasing complexity. In addition
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be testing and optimising predictive models for use in realistic healthcare settings. This studentship will suit a student interested in working in health data science, particularly with an interest in
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offshore operating conditions remains limited, making it a key area for further research. The combined effects of electrical, thermal, mechanical, and environmental stresses, coupled with high humidity, salt