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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By establishing an understanding of "what normal looks like", these models will detect deviations from the norm and
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into wider discussions of contemporary identity and memory. This project will be jointly supervised: At the University of Westminster by Dr Sara Dominici (Senior Lecturer in Photographic History and Visual
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to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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of shortlisted candidates are due to be held end of June. Contact: Georgina Lucas (Senior Communications Officer), Freeman Air and Space Institute, georgina.1.lucas@kcl.ac.uk.
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day-to-day, supervised by the project lead and other senior team members, and with some help from another research assistant. This involves liaising with patients to arrange their (online) clinical
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studentship (stipend + UK Fees) will be supervised by our Chair of Palliative Care and Child Health, Lorna Fraser and depending on the choice of project and methodology other senior staff from the Cicely
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of shortlisted candidates are due to be held end of June. Contact: Georgina Lucas (Senior Communications Officer), Freeman Air and Space Institute, georgina.1.lucas@kcl.ac.uk.
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wealth inequality, and how their career paths, values, and social networks maintain the status quo. As a PhD student on this programme, you’ll play a key role in generating new insights that could help