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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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projects. The role will also provide the opportunity to learn and develop medicinal chemistry skills as applied to drug design. The role is ideal for someone who has, or is about to be awarded, a PhD in
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This self-funded PhD opportunity focuses on assured multi-domain positioning, navigation, and timing (PNT), integrating data from space-based, terrestrial and platform-based sources of navigation
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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. The exact reasons for this remain unclear. This is an exciting project suitable for an enthusiastic and passionate PhD candidate aiming to explore the link between CF and cardiovascular/cerebrovascular health
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project. Experience of working with or in schools. Experience using tracking software and planners (e.g., MS Excel, Notion) or other participant database management. Ability to communicate confidential
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via the PhD Chemistry programme page, by clicking the 'Apply' button, above. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and
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available to students undertaking study in: Accounting and Finance Business and Management Science, Technology and Innovation Policy Academic requirements Candidates must meet the academic requirements
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Recycling and Circular Economy" How many positions: 1 This 3.5 year PhD is open to UK nationals. The successful candidate will receive an annual tax free stipend set at the UKRI rate (£20,780 for 2025/26) and
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PhD Studentship: The Right Child in the Right Place: Reducing the use, and cost, of inappropriate placements for Plymouth’s looked-after children. Applications are invited for a full-time three-year