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-month project within mental health research using a neuroscience or social science approach. The successful candidate will join a vibrant community of postgraduate researchers and will benefit from
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Award Summary Fully funded studentship with a tax-free annual living allowance of £24,000, a research training grant + UKRI fees paid. Overview There is a need for an easy-to-use testing device to detect the presence of human faecal matter rapidly and sensitively in water. Potential applications...
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Using data and network science approaches for the detection of food insecurity for patients with chronic health conditions Northeastern University London -> Network Science Deadline: 30th of June
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‘You can’t unionise robots’: Exploring the impact of technology on the nature of work in the logistics sector in the US and UK Management School PhD Research Project Directly Funded Students
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for Health and Care Excellence (NICE), who perform economic evaluations via their influential technology appraisal programme and influence guidelines internationally. Furthermore, this research will build
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: Candidates must have a first or upper second class honours degree or significant research experience. Additional requirements: - Background/qualification in computer science - Experience/interest in computer
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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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on the structural biology, microbiology, and infection of an important antimicrobial-resistant superbug – C. difficile. This unique opportunity allows you to work with leading experts in the UK and Australia
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and critical discourse analysis and will likely have a background in management, sociology, economics or a related discipline. International collaborator(s) The project is based on a collaboration
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Grierson Application Deadline: 26 June 2024 Details Project description: Applications are invited for a fully funded Basic Science PhD studentship. The successful candidate will join an established training