46 multiple-sequence-alignment Postdoctoral positions at University of Oxford in United Kingdom
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longitudinally collected sequencing datasets (both Illumina and Oxford Nanopore) of clinical isolates that can be linked to electronic healthcare record data and/or metagenomic data. These unique datasets provide
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activities. This involves small scale project management including interacting with collaborators, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department
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focuses on improving our understanding of multiple sclerosis disease progression and how treatment can impact progression. This work will focus on the unique Novartis Oxford MS (NO.MS) dataset, the largest
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and materials including support in proposal writing. This project is funded by the Department of Chemistry, Oxford University, aligned with its Strategic Research Funding in Sustainable
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the direction of Professor Pinar Ozcan, gives the successful candidate the opportunity to join at the start of the project. It will examine how organisations can align profitability with consumer well-being. Many
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with responsibility for technically facilitating the laboratory while academically contributing to multiple large research projects in the topic of the “role of sympathetic neural networks in
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will be involved in processing and analysing tissue collected from patients undergoing surgery, using whole genome sequencing, transcriptomics and proteomics. You will be heavily involved in designing
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and method development, is highly beneficial. You will be expected to manage your own academic research and administrative activities. This involves project management, to co-ordinate multiple aspects
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submitting a cover letter explaining how your experience aligns with the role, your CV, and contact information for two referees. Only applications received before midday on the closing date will be considered
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, to co-ordinate multiple aspects of work to meet deadlines. You will be responsible for preparing working theories and analysing qualitative and/or quantitative data from a variety of sources, reviewing