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translation and commercial readiness of our AI-informed digital tool for use in NHS and social care. This includes contributing to early work aligned with the Digital Technology Assessment Criteria (DTAC
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and analysis. Developing statistical models and code to run the proposed methods. Developing and running simulation-based analyses of the new methods. Main Duties The responsibilities may include some
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-delivered defibrillators during out-of-hospital cardiac arrests. This is a unique opportunity to be involved in an exciting NIHR-funded study that brings together cutting-edge technology, emergency care, and
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the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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, conducting simulation studies, analysis of datasets from economic and social research studies, software implementation and delivery of workshops. The Research Fellow will be supervised by Prof. Jonathan
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technology university delivering economic, social and cultural benefits. The University has been awarded a grant by the British Council through the International Science Partnerships Fund, provided by UK
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to work on related methods, including development of simulation-based analysis and computational methods. You will work closely with a multidisciplinary team, including clinicians, epidemiologists
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- the School of Innovation & Technology (SIT) the School of Design, the School of Fine Art and the Mackintosh School of Architecture. The School of Innovation and Technology combines academic study at
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needs. In addition, your role might involve supporting existing initiatives, organising workshops, proposal development and writing. PhD in Engineering, Physics, Mathematics, Computer Science or a closely