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-stranded RNA structures which are formed from sequences which contain a lot of the base guanine. This project will aim to reveal some of the RNA-based mechanisms which alter gene regulation in plants in
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expression patterns, and examine epigenetic and structural signatures associated with genome dominance. Transposable element distribution and activity will also be analysed using long-read sequencing
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transformation, bioinformatics, plant phenotyping or microscopy, DNA methylation analysis (e.g. bisulfite sequencing), or plant tissue culture. Our offer a position for 18 months, with an extension to a total of
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students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long-term learning outcomes. As
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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, but its human burden is badly understood. This PhD addresses this gap, integrating multiple high‑value datasets describing metagenomic and metatranscriptomic sequencing information, clinical and
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next generation sequencing data and associated bioinformatics Preferences Preferred qualifications: Candidates should have a strong background in either evolutionary genetics/genomics including
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-generation sequencing technologies and computational analysis of genomic or transcriptomic datasets. Previous involvement in preparing fellowship applications, grant proposals, or patent disclosures. Desired
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state-of-the-art single-cell RNA sequencing (scRNA-seq) alongside bulk and single-cell epigenomic assays. o Data Integration: Collaborating with data scientists to map molecular signatures to clinical
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bioinformatics. UPSC provides access to state-of-the-art infrastructure for plant transformation, sequencing, computational analysis and advanced microscopy within a highly collaborative and interdisciplinary