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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
infiltrative margin will be re-programmed to generate induced pluripotent stem cells as a patient-matched toxicity control. Research Environment: Applications are invited for a 4-year fully-funded PhD
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. Gordon Airey, Dr Anand Sreeram, Dr Nick Thom, Dr Richard Taylor Programme length: Four years (full‑time) Start date: 2026/27 academic year Keywords: biogenic supply chains, sustainable materials, biobased
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relevant discipline in engineering, science, or mathematics. Experience with modelling, simulation, optimisation, or programming (e.g. Python, MATLAB, C++, or similar) would be advantageous, though not
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a groundbreaking £6 million EPSRC Programme Grant to reduce the soaring energy demands of artificial intelligence . The computational team will work in collaboration with many partners in academia and
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of disasters? Do you have a PhD research proposal related to this topic, or can you develop one this month? If the answer is yes to these questions, then this PhD funding opportunity for the programme of
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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with substantial research experience will be highly advantageous. Experience in computer programming will be essential. Studentships are open to home students only. The deadline to have completed and
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, sensor-based measurements or quantitative data analysis. • Basic computational or programming skills, or a willingness to engage with modelling and data-driven approaches. Strong communication skills