46 web-programmer-developer-"https:" "https:" "https:" "https:" PhD positions at Newcastle University in United Kingdom
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Joint Faculty of Medical Sciences (FMS) and NIHR Applied Research Collaborative North East and North Cumbria (ARC NENC) PhD Studentship – Developing a risk-based care pathway for patients with
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and to study on this programme. How To Apply You must apply through the University’s Application Portal: https://applyto.newcastle.ac.uk/ In ‘Course choice’ tab: Type of Study - ‘Postgraduate Research
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Interested in how to shape the future of care for patients suspected of having a TIA? This PhD will explore how a risk-stratified approach could be developed with key stakeholders. National guidelines advise
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. This PhD project will investigate how biofouling affects the hydrodynamic, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance
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interested in developing advanced research and technical skills while working on a problem with real societal impact and who are motivated to improve workplace safety in healthcare technologies and work across
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supply-demand deficits becoming widespread by the 2050s. To effectively plan for water supply resilience, it is essential to robustly model future changes in hydrological systems. This project will develop
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‑related pathways, long‑distance wind‑borne dispersal may also represent a significant introduction route for insects. This project aims to develop and apply quantitative methods to assess wind-borne
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dispersal may also represent a significant introduction route for insects. This project aims to develop and apply quantitative methods to assess wind-borne dispersal risk for a range of pests of concern to GB
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assemblage changes. Determining how coral reef fish food webs and energy pathways are connected along extended depth gradients of 0-90 meters. Based in Newcastle, and with international supervision, you will
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systems with "self-diagnosis" and "self-healing" capabilities. By integrating federated learning, graph neural networks, and blockchain technology, we will develop a framework that moves beyond static