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Computational Spectroscopy/Hydrogen-tunneling at elevated temperatures in the gas-phase School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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vision (computer sight) with machining process data (forces, vibrations) to develop an intelligent system that can accurately identify why a tool is wearing out (e.g., abrasion, fracture) and when it's
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the implementation and ongoing review of programme level approach in the School and contributing to the strategic development of the portfolio. This will involve coordinating high quality and consistent programme and
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research project ‘Perceptual bias and the evolution of organismal communication signals’ as a Research Associate. The project willmake use of recent advances in computational neuroscience, machine learning
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patients with lung / cardiac MRI and improve patient experience. Image computing support for pulmonary MRI applications. Development of hardware for neonatal / paediatric MR applications Contribute to and
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transfer office and other members of the team to accelerate the future impact of the research. Initiate and implement the programme of research as set out in the funding proposal. This may include managing
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Deliver H&S training, in line with the agreed central training programme. Carry out other duties, commensurate with the grade and remit of the post Person Specification Our diverse community
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Funding: You’ll have access to a £35,000 research training support grant over four years. Whether it’s for experimental work, conference travel, or the latest computing gear, we’ll make sure you have the
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the team to ensure a programme level approach. This may include supporting external review processes such as accreditation. Undertake data collection and collation required for teaching timetable, including
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Sellafield Ltd, and be part of a comprehensive doctoral training programme in this area at The University of Sheffield, led by the primary supervisor Dr Brant Walkley, in collaboration with Sellafield Ltd. and