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This PhD project aims to reduce—by approximately an order of magnitude—the time and computational effort required to evaluate point-defect energetics in technologically important mixed-anion
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, data analytics, and co-designed interventions. This is an exciting opportunity to contribute to applied research that informs urban policy and planning, particularly around air quality monitoring and
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digital construction technologies, including VR, IoT, machine learning, and physiological and behavioural data analytics. Experience with wearable sensors & physiological data (e.g., EEG, ECG, eye tracking
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suited to candidates with strong quantitative and analytical skills and a PhD (or near completion) in cancer epidemiology or a related field. Applicants should have experience in applying or developing
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existing data analytics tools will help deploy these technologies in the industry context without the need for big datasets. Predictive Maintenance (PdM) is one of the maintenance strategies that has
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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Birmingham City Council to start in October 2025. This PhD project aims to investigate how changes in travel modes can contribute to achieving net-zero emissions in urban transport. Specifically, it will
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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver
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(S.Barak@soton.ac.uk ). Digital and Data Driven Marketing: as one of the top 10 Marketing Departments in the UK, we invite strong PhD proposals in marketing-specific topics, such as Advertising, Branding
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This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves