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to improve human health and quality of life locally, nationally and internationally through outstanding education, research and patient care. http://www.nottingham.ac.uk/medicine/about/index.aspx
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project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and machine learning
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strong academic record who wish to develop a career in primary care research. This award is offered by the NIHR School for Primary Care Research at the University of Nottingham, and offers project-specific
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-Royce to develop smart and robotic solutions to enable in-situ/on-wing repair and maintenance of gas turbine engines. At the Rolls-Royce UTC at University of Nottingham we have developed robotic systems
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and their condition will deteriorate. This can mean that they pose an unacceptable risk of accidents occurring, such as derailments or train collisions, or the expenditure to undertake interventions
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with the following actions: •Develop the principles and theories for governing the scalability principles for building foldable and reconfigurable end-effectors that are able to access geometrically
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scientific discipline. Outstanding analytical and numerical skills, with a well-rounded academic background. Demonstrated ability to develop precision Mechatronics systems and algorithms. Ability to develop kinematic and
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of the technical issues related to the project, as well as developing a good partnership with the appropriate technical teams. Joint academic and industrial supervision. In this way, the student will develop both
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-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology at University of Nottingham. This project is in relation to the technical needs of Rolls-Royce to develop automatic and
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. In this way, the student will develop both academic and industrial skills with multiple career opportunities at the end of the PhD study. For PhD students wishing to pursue an academic career