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patients and the public across the UK. This role will provide vital leadership in supporting the delivery and adoption of Federated Analytics within the TRE programme. This role will involve building and
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English language proficiency proof (if applicable). After discussion, you may be invited for an interview. What the PhD Programme Offers: This PhD will include the payment of Home tuition fees as
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Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology Applicants are invited to undertake a fully funded three-year PhD programme in partnership with industry
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within the framework of an agreed programme. You will have a degree or equivalent experience in psychology, medicine or relevant areas. Excellent oral and written communication skills, including
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and Metal Atoms on Surfaces & Interfaces (MASI) programme, you will lead a strategic project to design and develop electrocatalytic materials and systems to generate high-purity hydrogen at high
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mapping of sites and X-ray Computed Tomography of soil samples. Full training will be given for all aspects of the work and strict health and safety protocols will be followed at all times. Keyword Search
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a research or academic-related position with a contract of 12 months or more will be considered to have achieved the aims of this programme and as such will not be eligible. *Most applicants will be
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The Research and Knowledge Exchange (RKE) Business Analyst supports the Business Analysis and Reporting team, monitoring delivery against the University’s Research and Knowledge Exchange strategies. A...
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deliver excellent service. In return we will support your development and put in place a personal training programme to help you progress in your career. The post is offered on a full time (36.25 hours per
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, the role holder will work with the academics, researchers and PhD students in managing and conducting research activities across the programme. Prior direct experience of successful PhD student supervision