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data sources to answer important population-level questions that will inform health technology assessment, policy, and practice. The successful PhD student will be embedded within an interdisciplinary
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matrix functions. These computational problems are central to many scientific and engineering applications, including quantum mechanics, materials science, and weather/climate modelling. Numerical methods
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the technology, hence there is a drive from the industry to address this. To answer this question requires an interdisciplinarity approach, combining Industry input alongside physical sciences and physiological
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to interact with GE Vernova’s engineering staff and will have the opportunity to work, for part of the time, in GE Vernova’s main HVDC design office, based in Stafford, UK. Here the candidate will have the
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Optics, Quantum Nanophysics and Quantum Information group of the Faculty of Physics. We are member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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partnership with the Royce Institute and Cummins, you will study the microstructure of nickel-based alloys used in turbine wheels — vital components for hydrogen-ready engines and future power technologies
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Primary supervisor - Dr Julea Butt This exciting project will engineer light-driven microreactors converting nitrate to ammonia thereby delivering proof-of-principle for a sustainable technology
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master’s (or international equivalent) in a relevant science or engineering related discipline. Experience of cell culture will be a benefit. Please send a 2 page CV (max) including publications, research
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Chemistry, Chemical Engineering, Materials Science, Physics or similar. The candidate will be provided with training to undertake this interdisciplinary research. The successful candidate will be based in