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multidisciplinary team of clinicians, scientists, nurses and support staff, delivering a programme of research relating to traumatic injury, haemostatic resuscitation and optimisation of patient outcomes. The Centre
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multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research, and second in
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, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction
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two policy papers, and actively support the Network’s activities, including the Deterrence Futures Programme. Based in Leicester, the Fellow will be line-managed by Professor Andrew Futter and supported
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to formulate and test hypotheses about how epigenetic factors control the life cycle of parasitic nematode, use transgenic and CRISPR methods to manipulate epigenetic regulators, and test the effects
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can be engineered to improve Rubisco's catalytic activity. The research programme will provide insight into direct molecular responses to carbon dioxide in prokaryotic and eukaryotic photosynthetic
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of ethnographic or collaborative methods, as well as contributing to peer reviewed publications/presentations. You will also have excellent organisational skills and the ability to communicate effectively with
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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maternity services in England. To be considered for this role you will hold a PhD in social science or other relevant health related science. You will have experience of ethnographic or collaborative methods
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to Topping Green Corridor running into and out of Middlesbrough. These three green corridors are part of an ambitious programme being led by the National Trust to help work in partnership to establish 20 green