264 computer-algorithm-"Prof"-"Washington-University-in-St" positions at University of Manchester
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major retailers As an equal
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This 3-year research associate position forms part of an EPSRC Prosperity Partnership between The University of Manchester and healthcare provider Bupa. The research programme aims to address
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/UK working contacts will include Prof Jonathan Huck, Prof Julien Harou, Prof Jian-Bo Yang, Prof David Polya, Prof Alison Browne (all University of Manchester) and other CoIs. The applicant should have
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Applications are invited for a behavioural science fellowship focused upon cross-cultural social psychology. The fellowship is jointly hosted by GCHQ (Classified Research Programme (CRP)) and the
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, Warwick University and University College London. The research programme aims to address the sustainability of engineering plastics across the transport, electronics and construction sectors by exploring
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Frank, in collaboration with Prof Daniela Montaldi, Dr Paul Warren, Dr Rajiv Mohanraj (Northern Care Alliance NHS), and Prof Nelson Trujillo-Barreto (Manchester Metropolitan University). The project
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programme Current first-year PGRs are eligible to apply for the general CSC scholarship scheme, though not the joint scheme. If you would like to apply for the general scheme, please contact CSC directly. The
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, and the impact future network designs may have on the models and control. The PDRA will work under the direct supervision of Prof. Barnes and Dr Preece. The wider supervisory team also includes Prof
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, which you will lead, under the supervision of Prof David Wedge. Collectively, the team has expertise in the analysis of multilevel omic and imaging data; data integration and machine learning; and risk