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additional expertise in areas such as FACS/mass cytometry, bioinformatics, or in vivo work (holding a personal licence) would be advantageous. Application Process If you would like to discuss this role, please
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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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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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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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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
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sequencing methodologies and associated bioinformatic applications. You will understand epigenetic regulation, in particular DNA methylation and good knowledge of genome biology in the contest of cancer. You
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tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in subject Bioinformatics, Systems Biology, or related fields Proven track record in rare