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the Biomedical Research Building at Newcastle University within the Faculty of Medical Science, and join the Digital Health Innovation in Ageing and Neurodegeneration (DIAN) research group, a multidisciplinary
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The purpose of the project is to build a secure by design AI inference stack using the latest advancements in AI, security, and formal methods. Modern AI inference systems combine complex software
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of the project is to build a secure by design AI inference stack using the latest advancements in AI, security, and formal methods. Modern AI inference systems combine complex software components, including model
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) Preliminary Research Plan (3-5 pages in length) which includes background information, research objectives and methods, possible hypothesised results, possible collaboration, and any other key information. (3
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the critical combinations of ice and weather conditions that drive ice-related risks to coastal areas and structures. The modelling results will feed into the design of a warning and monitoring system concept
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member of the Design Bioethics Lab (DBL) led by Dr Kathryn Francis and Dr David Lyreskog. You will work on the Wellcome Trust funded project ARIADNE – an interdisciplinary research project developing a
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external to the University. Plan and manage your contribution to each project, in conjunction with the project team, to meet agreed deadlines. Disseminate research findings through writing (Grade 7
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of Applied Mathematics and Theoretical Physics (DAMTP) and the Centre for Climate Repair in Cambridge under the primary supervision of Prof. John Taylor from 1 September 2026 or by negotiation (see http
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on the research activity of the lab is available at: https://www.rinaldi-lab.com/ . The successful candidate will be involved with study design and experimental conduct. The post holder will work at the newly built
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exciting opportunity for a research assistant to become a member of the Design Bioethics Lab (DBL) led by Dr Kathryn Francis. You will support the project to develop a novel research method for identifying