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river attributes and landscape conditions that influence their behaviour (e.g. stream power; sediment flux; valley confinement); and (2) distribution and type of physical modifications. This PhD will aim
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investigate innovative strategies to improve energy efficiency, flexibility, and sustainability in data centre operations. The research will explore: Microgrids and Distributed Energy Resources (DERs
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, particularly in computer networks, operating systems, computer architecture and distributed systems Excellent programming, system building and measurement skills are required Be familiar with, and ideally worked
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refine simulation tools and machine learning solutions to advance stroke treatment. This involves improving existing computational models that simulate cerebral blood flow, oxygen distribution, and brain
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Electrical power level studies with developed digital twin to identify visible solutions for distribution electric propulsion. We are seeking exceptionally motivated and first-class students with a strong
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distribution. This process often takes place in large scale driers where the material is heated and broken up mechanically with mixing blades. However, under certain conditions the process can break down as the
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memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling