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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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publications. The role holder will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio within the broad
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and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff development through the provision of training, continued support, and career progression
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engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype development would be
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covers tuition fees, a stipend, and RTSG (research training and support grant). Alongside the scientific PhD training, the programme will provide a wide range of training opportunities. DTP Standard
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, mathematics, or related disciplines. Skills in numerical tools and programming are desirable. Any experience in engineering design or manufacturing would be advantageous. Eligibility and Application Due
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are coordinated and managed efficiently. We are seeking a candidate that adopts a methodical approach to working in order to achieve work deadlines, has good communication skills and an understanding of molecular
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five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff development through
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: To plan and manage own teaching and provide advice as a member of the IS teaching team within the IS UG / PG programme of study, in a variety of settings including small group tutorials as well as lectures