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We are seeking five full-time Postdoctoral Research Assistants to join the Computational Health Informatics Lab at the Department of Engineering Science, based at the Institute of Biomedical
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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
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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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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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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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lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and
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are numerous international collaborations and partnerships. You will be part of a team of Research Finance Managers, each of whom will manage a portfolio of grants. Each Finance Manager will look after
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, infectious disease epidemiology, systems immunology, computational biology etc) and have experience using statistical methods and machine learning tools, and in developing reproducible informatics pipelines
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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