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genomics/transcriptomics, computational biology and machine learning. The overarching aim of the project is to develop strategies to treat patients with rare genetic disorders at scale. Duties will include
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. We have an exciting opportunity to join the Digital Transformation team as a Programme Manager working on a flexible
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and will be the senior lead in terms of orchestrating delivery of all work within the Portfolio. The Administration Portfolio currently comprises a collection of major technology projects and programme
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members of the research team including research assistants and PhD students. This specific project and the wider programme of work are both developing and applying innovative complexity economics and policy
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, statistics or relevant subject area such as molecular biology. You should have strong computational skills and have past experience working with RNA and small compound data sets. Critical thinking, good
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computer code as required. You will devise novel approaches for data analysis, develop informatics structures to manage large datasets, and contribute to code and data sharing and deposition via appropriate
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multi-disciplinary team of biological, computational and mathematical researchers by curating and processing raw ‘omic and spatial biology data and performing hypothesis led and hypothesis generating
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. The position is part of a newly awarded Cancer Research UK Discovery Research Programme, focused on deciphering tissue-specific mechanisms that impede the anti-tumour T cell response in colorectal cancer
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and implement new quantum electrodynamic corrections in the computational framework of the GRASP code. The successful candidate will also be expected to assess the accuracy of the modelling by
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Computational Statistics and Machine Learning (OxCSML) group, which is a vibrant research group working at the cutting edge of Statistical Machine Learning. OxCSML is part of the Department of Statistics, as