110 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at University of Oxford in United Kingdom
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drug and disease research in multiple projects in the group. The candidate is expected to lead a drug development project and support other group projects. This will include lab experiments, analysing
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close to completion of a relevant PhD. You will manage your own academic research, effectively coordinating multiple strands of work. Direct experience in molecular genetics and/or plant-microbe interactions
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complex qualitative and/or quantitative data from a variety of sources, and contribute original ideas for new research projects. You will coordinate multiple aspects of work to deliver novel research data
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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory and is available from 1st October 2025 (or earlier). Applications
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findings, and represent the group at meetings. A working knowledge of bioinformatics is also essential. One or more first-author scientific publications, experience in protein purification and flow cytometry
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multiple aspects of work to meet deadlines. You will adapt existing and develop new scientific techniques and experimental methods, as well as contribute ideas for new research projects. You will use
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administrative tasks, this will include small scale project management to coordinate multiple aspects of work to meet deadlines. You will adapt existing and develop new scientific techniques and experimental
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R