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£20,780 per year and a budget for training and research. All applications should be made online. Further information on eligibility and how to apply via University Applicant Portal can be found in
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programme’ page, please select (Neuroimaging) Research MPhil/PhD (Full-time). More information on the department and the programme is available at the departmental prospectus page here: https://www.kcl.ac.uk
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conducting the qualitative interviews with patients and analysing the interview data. You will be presenting that data to the study team at regular meetings and contributing to the intervention and app
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the spaces, but also behavioural changes, such as changing habits regarding ventilation or heating. The second part will employ secondary data analyses from existing cohort studies to explore the associations
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
generate vast amounts of operational and maintenance data, much of it remains fragmented and underutilized. Unlocking insights from this unstructured data could enable earlier fault detection, improved
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will be randomised to receive either standard of care (which includes a patient information sheet) or standard of care plus a nurse-led phone contact. Objectives: 1) To determine patients’ perspective on
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‘Research Area' field blank select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a
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Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal Statement’ (this is a mandatory field) - upload
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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-time). More information on the department and the programme is available at the departmental prospectus page here: https://www.kcl.ac.uk/neuroscience/about/departments/neuroimaging https://www.kcl.ac.uk