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, microbiology, plant science, soil science, or a related discipline, along with demonstrable experience of research using molecular techniques, isotope tracers and statistical or bioinformatic analysis of large
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the data's structure, which can reveal hidden patterns. The project aims to apply and adapt TDA techniques from various fields—such as physics, mathematics, bioinformatics, and neuroscience—to uncover new
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hidden patterns. The project aims to apply and adapt TDA techniques from various fields—such as physics, mathematics, bioinformatics, and neuroscience—to uncover new insights and improve ML models. By
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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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, and the student will receive high quality training in bioinformatics, wet-lab skills, microscopy skills, and insect husbandry. Additionally, there will be ample opportunity for the student to develop
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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