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bioinformatics or programming (R/Python) is highly desirable. We welcome applicants from diverse backgrounds who are enthusiastic about combining molecular (wet-lab) and computational approaches to uncover how
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student with a degree in plant biology or microbiology and a keen interest in chemical soil ecology. Experience with bioinformatics or programming (e.g. R/Python) is desirable. We welcome applicants from
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, bioinformatics; Utrecht & Sheffield) High-resolution metabolomic analyses (LC-MS/MS, MALDI-timsTOF imaging; Sheffield) Computational integrative analysis of plant transcriptomic, metabolomic, and microbial
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interdisciplinary project, combining molecular biology, immunology, genetics, and advanced bioinformatics, working between the Bateson Centre for Disease Mechanisms, School of Biosciences and the Medical School
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understanding are urgently required. Experimental Approach: The student will receive tailored training in cancer biology and bioinformatics from our expert supervisory team. They will conduct bioinformatic
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with a supporting team. It is a multidisciplinary project, with state-of-the-art methodology, from advanced microscopy, immunofluorescence, bioinformatics and in vitro work with the possibility of a
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. This interdisciplinary project combines both wet bench work and computational work (bioinformatics, chemoinformatics and image analysis). The student will gain experience in working with zebrafish embryos, and the use
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parasite–host communication. Gain expertise in bioinformatics, comparative genomics, and epigenomics, with strong transferable skills in big data analysis. Conduct functional validation experiments to test
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. This interdisciplinary project will provide training in developmental biology, molecular genetics, bioinformatics, and mathematical modelling, making it ideally suited to candidates with interests in evolutionary biology
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screens, 4D live-cell microscopy, flow cytometry, proteomics and metabolomics as well as the bioinformatic and computational skills required to analysis and make sense of the data. They will be embedded in