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analytical ability to analyse and illuminate data, interprets reports, evaluate and criticise texts and bring new insights. Ability to creatively apply relevant research approaches, models, techniques and
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time series modelling, age-period-cohort modelling and structural equation modelling. Whilst applicants need not to be familiar with ALL of these, they ought to be familiar with ONE (and to state in
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are full-time (36.25 hours) This role is based at the Clinical Sciences Building, City Hospital Campus. At the University of Nottingham, we are committed to providing generous employment packages whilst
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to demonstrate capability in the application of a range of multiphase flow modelling techniques to challenges in the aerospace industry. The MAS group and faculty have an excellent international reputation
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approaches, models, techniques and methods. Ability to assess and organise resource requirements and deploy effectively. Ability to build relationships and collaborate with others, both internally and
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based at the University of Nottingham in the School of Biosciences, Sutton Bonington Campus, but will involve working with colleagues based at partner institutions across the UK, Europe and USA
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this, the successful candidate should be able to demonstrate capability in the application of a range of multiphase flow modelling techniques to challenges in the aerospace industry. The MAS group and faculty have an
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related to staff position within a Research Infrastructure? No Offer Description Applications are invited for the post of research fellow based in the School of Medicine, Blood Cancer and Stem Cell Group
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Applications are invited for the post of research fellow based in the School of Medicine, Blood Cancer and Stem Cell Group, University of Nottingham. About the role – The project will study the
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explore and develop new types of memristors that can be switched both optically and electronically, therefore opening the route to new applications in computer vision. The position will be based in