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markerless motion capture (gait assessment) system for healthcare/rehabilitation applications. College / Directorate College of Engineering, Design & Physical Sciences Department Department
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for the game changing impact of our science globally. Our employees enjoy access to state-of-the-art technology and a diverse range of specialist training opportunities, including support for leadership and
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flow in hybrid systems: improving the simulation of engineering structures”. As part of the project - jointly undertaken by the University of Nottingham and the University of Salford -, we offer a
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embedded within a diverse and interdisciplinary research environment comprising experienced scientists in toxicology and human health, analytical chemistry, software engineering, statistics, and
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£38,249 - £44,128 per annum; Grade J £42,882 - £48,149 per annum; Grade K £49,559 - £55,755 per annum School/Unit: School of Electrical, Electronic and Mechanical Engineering This advert will close at23:59
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, automotive, electrical/electronic engineering or computer science. Also, experience in the following areas is highly desirable: Control development and implementation, including neural networks Instrumentation
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under real-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration
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are provided in Arts and Humanities, Built Environment, Brain Sciences, Engineering Sciences, Education, Laws, Life Sciences, Mathematical & Physical Sciences, Medical Sciences, Population Health Sciences and
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Computer Science or Engineering) will complement the strategic, arts, commercial, and social sciences competencies in our current Sector and Technology Foresight team. We are a very applied, interdisciplinary team
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their application clearly which they are familiar with and their degree of expertise). Experience of geo-coded data analyses and Propensity Score Matching would also be relevant. Expert interviews will also form part