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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Profiling hardware and feasibility of new
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change is a major threat to biodiversity, and there is an urgent need to design conservation actions which mitigate its impact on species. For some species, rising temperatures threaten their persistence
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bioinformatic skills to predict the evolution of rare diseases? FSHD is a rare neuromuscular disorder. No approved treatment is currently available. Slow and variable disease progression complicate trial design
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embanked, drained and reclaimed for agriculture, but now efforts are being made to restore them through a process called managed realignment. A key feature in the design of managed realignment sites is the
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to inform the design of next-generation fusion materials. Translate sophisticated scientific data into impactful insights through clear communication to diverse audiences, including industry stakeholders and
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transfer and laser-matter interactions. The “design-manufacture-inspect-model-test” approach of this project will equip the successful PhD candidate with a wide range of valuable and transferable skills
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successful candidate will develop a public-programme-as-research project and will: Design and deliver a three-year public programme including exhibitions (solo and group), talks, events, performances, digital
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. This PhD project focuses on a pivotal aspect of the fusion fuel cycle: efficient tritium extraction from lithium-based breeding media. In particular, Tokamak Energy’s innovative liquid lithium blanket design
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-temperature resistance, dimensional stability, or chemical compatibility. However, current research into circular design and end-of-life strategies often overlooks the unique recovery and regeneration challenges posed by
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(coordination) and safety constraints can be intractable. Your work will bridge this gap by providing generalizable, provable design approach that apply across a wide range of networked systems. This 3.5-year PhD