249 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"St" PhD positions in United Kingdom
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Met’s Doctoral College community, benefiting from specialist training, collaboration opportunities, and professional development. This is an exciting opportunity for a motivated researcher passionate
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focus on cancer outcomes, real-world evidence, and data-intensive population health research with direct relevance to NHS policy and guideline development. The supervisory team combines clinical and
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coupling. This PhD project focuses on the development of next-generation high power density EMS, to unlock a more compact and efficient energy ecosystem, where EVs do not just consume power, they help drive
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that TEs fundamentally shape genome function and evolution by affecting gene expression, rewiring regulatory networks, and driving change in chromosome size and structure. In recent years, research
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Vehicle Health Management (IVHM) Centre is a major collaborative venture at Cranfield, started in 2008, with funding from the East of England Development Agency (EEDA); a consortium of core industrial
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metabolomics and novel physiological MRI technique development within a translational research environment bridging analytical bioscience and neuro-oncology. Research Environment The successful applicant for a 4
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development, modelling and simulation, through to fabrication and advanced optical/electrical characterization—offering a unique opportunity to push the boundaries of photonic device engineering. This is a 3.5
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for publication, conference participation, and industry collaboration. As part of our inclusive and supportive doctoral community, you will benefit from tailored training, mentorship, and professional development
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obesity guideline development. Training & Research Environment You will join the multidisciplinary research environment at QIB, gaining training in nutritional science, food‑structure analysis, digestion
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project