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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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, stable isotope tracers, medical imaging). Experience with molecular biology techniques, stable isotope tracers methodologies, GCMS desirable. Familiarity with bioinformatics and computational biology
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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
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vivo culture. You will also investigate cGAS-STING signalling, regulation at the endoplasmic reticulum, and T cell phenotypes and trafficking. A key aspect of the role includes bioinformatic analysis
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interest for cell culture model systems, signal transduction and bioinformatics Methodological skills: chromatography, mass spectrometry, basic knowledge of bioanalytical chemistry Expertise on data analysis
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experimental design, bioinformatics, or translational research is advantageous. This post is available until 30 June 2026 in the first instance. If you are still awaiting your PhD to be awarded you will be
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analytical and quantitative skills (e.g., statistics, bioinformatics). Clear communication skills, both oral and written. Ability to collaborate effectively with researchers, students, and engage with a range
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will write research articles and present the results at national and international conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics
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will write research articles and present the results at national and international conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics
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and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in experimental or theoretical biology, bioinformatics, clinical medicine, or a related discipline and have