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research role. We encourage all potential applicants to think about potential proposals for parallel individual projects which may complement these two research projects, and we will work with you to refine
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the supervision of Prof. Muhammad Ali Imran and Prof Jonathan Cooper, who will act as Line Managers. The project particularly emphasizes ambient and remote sensing techniques, connectivity for healthcare, and
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health economic methodology. The doctoral research will be supervised by experts including Dr Stephen Bradley (senior clinical lecturer), Prof Nick Latimer (Professor of health economics), Dr Meena Rafiq
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vacancy of a technical nature, please contact Prof. E. Mastorakos (em257@eng.cam.ac.uk ). If your query concerns the application process, please contact: Mrs Kate Graham, email kag1000@cam.ac.uk . Please
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to consider these as part of your application. Please submit your application by midnight on the closing date. If you have any questions about this vacancy of a technical nature, please contact Prof. E
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Tandem Industry-Academy funded project https://www.vaikuttavuussaatio.fi/en/funded-projects/tandem-industry-academia-tia-seed-2024/ . developing next-generation optical computing technologies for ultra
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You will contribute to a programme of research, funded by the Horne Family Charitable Trust, which aims to increase the evidence base on Domestic Violence and Abuse (DVA) experiences of people with
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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expertise or additional resource for a project.) You will contribute to a programme of research, funded by the Horne Family Charitable Trust, which aims to increase the evidence base on Domestic Violence and