95 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Nottingham
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of the Manufacturing Technology Centre (MTC) and academics within the Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
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computer-booking systems would be desirable. The role is key to ensuring a first class and seamless experience for our student, staff, alumni and public members. Excellent communication and customer care
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of the Manufacturing Technology Centre (MTC) and academics within the Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
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customer-focused role is essential, together with evidence of managing cash-handling/reconciliation processes. Previous experience working with computer-booking systems would be desirable. The role is key
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computer-booking systems would be desirable. The role is key to ensuring a first class and seamless experience for our student, staff, alumni and public members. Excellent communication and customer care
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advancement in electric machine performance. Who we are looking for We seek a motivated candidate with at least a high 2:1 degree in Engineering, Physical Sciences, or a related field. Prior experience (such as
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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administrative support and management for student experience and teaching and learning within the School. The role-holder is responsible for coordinating and developing critical aspects of student experience and
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purpose of the role is to lead and provide a consistently excellent standard of teaching and support for student learning on our medical programme, to contribute to medical curriculum development, quality
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moisture risks, directly affecting children’s health, wellbeing, and learning outcomes. This PhD will develop evidence-based, Passive House–informed retrofit strategies tailored to diverse school typologies