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: Building Anatomically Accurate Digital Human Models 2. Next generation virtual production with light-fields 3. Creating data-driven 3D human representations that combine the fidelity of implicit models with
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young people. Experience of working with administrative data, electronic health records and/or big data is desirable but not essential Experience with advanced quantitative data analysis and data code
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based in a large, shared office in the School of Management's impressive new building, although institute members, over fifty academic staff, postdoctoral researchers and postgraduate research students
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of working with large databases requiring the skills stipulated in the person specification Hold excellent communication skills and enjoy working within a team environment. Additional information This is a
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The Digital, Data & Technology Department (DDaT) is responsible for the efficient delivery of IT infrastructure, digital products, and services; playing a vital part in enabling the University’s
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Ability to manage large classes Ability to bring innovative teaching, and assessment practices You will be expected to have a PhD in a relevant field. This role is offered on a full time (36.5 hours per
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analysis of large, complex datasets using a variety of data visualisation techniques. You will have a thorough understanding of Data Protection legislation and how it applies to your work. An excellent
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Bath and Somerset, UK. Genomic, metagenomic and qPCR data from these samples will be analysed alongside clinical data generated by other project partners, and existing data from the public domain
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Innovation Research Associates play a key role in translating cutting-edge mathematics, especially modelling and data-driven approaches, into real-world impact. About you We are seeking a candidate with strong
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environment. Further information Please ensure you submit your application via our website. Please note that during initial shortlisting, the panel can only see your application form and your answers