198 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Nottingham in United Kingdom
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of the role, please see the accompanying role profile form. We are looking for candidates who can teach and shape our undergraduate and postgraduate curricula in International Commercial Law, specialising in
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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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passionate about supporting teams and individuals, an excellent communicator and listener, and have a keen willingness to learn. You will have the ability to have good conversations with colleagues across many
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positive attitude and the ability to learn new skills and procedures. What we can offer you: A friendly, diverse, and supportive working environment A hybrid working arrangement with the blended approach
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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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, adaptable, and keen to learn new techniques. Has excellent communication skills and a strong understanding of health and safety. Can use their initiative to solve routine problems and knows when to seek
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to learn the skills needed to support the operational, teaching and research requirements of both the Electrical & Electronics Engineering (EEE) and the Foundation Engineering & Physical Sciences (FEPS
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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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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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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