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for the MSc and MPhil in Visual, Material and Museum Anthropology (VMMA) postgraduate degrees. The programme consists of a one-year MSc and a two-year MPhil degree that focus on theories and methods within
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experience of working as a Business Analyst throughout the change lifecycle and on a variety of initiatives. Experience of working within a large and complex transformation programme would be highly regarded
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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well as generating and interpreting high-quality visualisations of complex pQTL data, such as Manhattan plots, concordance scatter plots and Miami plots. You will also apply advanced statistical genetics methods
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instances as required in Commercial Off the Shelf systems – the main system used being REDCap. You will also investigate and implement suitable alternative training delivery methods, at the top level this
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are looking
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the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
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continuing tradition of excellence in the subject. The Professor will be expected to provide outstanding research leadership in statistical methods development, bringing with them a vision for the discipline
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University of Oxford’s continuing tradition of excellence in the subject. The Professor will be expected to provide outstanding research leadership in statistical methods development, bringing with them a
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The Oxford-GSK Institute of Molecular & Computational Medicine is a multidisciplinary programme aiming to improve tools in, and knowledge from, genetics, genomics, molecular and single cell biology