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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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cutting-edge approaches: 1. Population Genomics: You will utilize whole-genome sequencing and bioinformatic analysis to: * Characterize the genetic diversity and evolutionary relationships within a
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research, high-throughput data generation, and bioinformatics analyses, contributing to high-impact research at the interface of plant and fungal physiology, molecular biology, and ecology. You will have a
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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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driving plant memory. CANDIDATE PROFILE We seek a highly motivated student with prior experience in molecular biology and a keen interest in epigenetic regulation. Experience with bioinformatics
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with a background in rhizosphere biology, microbiology, and/or plant–microbe interactions. Experience with bioinformatics or programming (e.g. R/Python) is desirable. We welcome applicants from varied
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: • Plant–microbe interaction studies and automated phenotyping (Sheffield & Utrecht) • Next-generation sequencing and microbiome data analysis (RNA-seq, metagenomics, bioinformatics; Utrecht & Sheffield
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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