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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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Drakeley and Dr Julius Hafalla, primarily focused on immunoepidemiology, as needed. The post holder will be responsible for the generation and curation of laboratory and epidemiological data from different
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the analysis of several forms of data (including interview data, documentary material, and secondary literature) to answer the project’s key research questions, and leading on co-authored publications (and other
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experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key
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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate
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. They will be responsible for conducting literature reviews, obtaining governance approvals, developing, testing and validating surveys, collecting and analysing (quantitative and qualitative) data, working
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for more information. For an informal discussion about this new post, please contact Professor Ian Crawford (ian.crawford@economics.ox.ac.uk). The closing date for applications is 12:00 noon, 6th August 2025
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to the development of innovative and sustainable low carbon plastic waste management and recycling solutions. In this project the post holder will develop novel algorithms and methods for analysis of plastic data
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postgraduate students. Additional information Contract type: Fixed term with funding from 01/10/2025 until 30/09/2026 Work pattern: Part-time/0.2 FTE (to include Monday or Tuesday) Grade: Clinical Research
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. They will be responsible for conducting literature reviews, obtaining governance approvals, developing, testing and validating surveys, collecting and analysing (quantitative and qualitative) data, working