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return can be accrued from an investment in gas turbines and related power system research and education. It is expected the research will generate new AI-based methods and knowledge for more advanced gas
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offers an exciting opportunity to undertake cutting edge research in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University
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heavier than their fossil fuel powered counterparts. A framework that can accurately model complex dynamics and generate projections for future scenarios is essential for understanding the impact of changes
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This 3.5 year PhD project is fully funded for home students; studentship is open to Home (UK) applicants only. The successful candidate will receive an annual tax free stipend, set at the UKRI rate
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some quantitative and/or data visualisation skills (but not essential). The candidate should also have interests and/or expertise in the project’s subject matter (i.e. military elites, military power, UK
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and an interest in and familiarity with computational protein engineering approaches is essential. Hands-on experience in computational protein design and engineering is desirable. The ability to work
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to the commencement of the PhD. Vision We are seeking for a highly motivated PhD student to conduct cutting edge research of the AI techniques that will power future flexible manufacturing systems. Together, we will
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At present, it is not possible to measure sweating over an extended period of time through a wearable system. Moreover, it is not yet clearly understood how sweating is linked to emotional responses
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the ability to simulate the temperature of the canopy-soil system, they provide valuable information on the interactions with the underlying surface. This is particularly important for urban areas where sparse
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PhD project (such as mathematics or theoretical physics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently