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of sterile and infected single and co-cultures of immune and stromal cells, and correlative data analysis including surface characterisation of biomaterials. Candidates must have a PhD submitted (or close
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purposes. We are looking for a confident, organised researcher who can evidence: • A PhD, or equivalent in mathematics, theoretical physics or a relevant branch of engineering. • OR near to completion
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class research leader to strengthen our team of international experts, specializing in at least one of the following areas: Artificial Intelligence Software Engineering Human Computer Interface AI and
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that present significant problems for data reduction and analysis. This PhD project, in close collaboration with researchers at ISIS Neutron and Muon Source and University of Nottingham, will address this by
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University Technology Centre (UTC) in Manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a 3-year PhD program in partnership with the UK Atomic Energy
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to hearing from you. For information about the School of Mathematical Sciences see: http://www.nottingham.ac.uk/mathematics/index.aspx Informal enquiries may be addressed to Chris Brignell email
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Practitioner in the local area. About you You should have an MBBS or equivalent, a PhD or equivalent in a medical specialty or medical education equivalent extensive professional/teaching/research experience
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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will be working closely with colleagues within the Business School and across the hub to conduct primary research and develop social-science informed approaches to translating hub innovations into policy
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quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required