7 cyber-physical-system-data-mining PhD positions at University of Exeter in United Kingdom
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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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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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The University of Exeter’s Department of Computer Science is inviting applications for a PhD studentship funded by Faculty of Environmental Science. For eligible students, the studentship will cover
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PhD Scholarship aims to evaluate performance of current GRSs and optimise performance in Black men. The aim is to deliver data-driven evidence to guide future policy implementations of GRSs. The project
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in leaf size, shape and surface texture, all species have an astonishing ability to self-right when flipped over. Preliminary data indicate that drastic differences in surface wettability between
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on health and use economic methods to evaluate relative costs and benefits. This may include use of health impact assessment methods, statistical analysis of secondary data sources to estimate health impacts
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plants. Members of all three groups utilize highly wettable, wetness-'activated' slippery surfaces to catch insect prey in modified, cup-shaped leaves. The unusual wettability of these surfaces is based