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PhD Studentship: Subcortical brain development and disorders, funded PhD at the University of Exeter
transcriptomics approaches combined with bioinformatics analyses. The project will focus on the emergence of diverse cell-type at critical points of brain development and identify molecular mechanisms underlying
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collected regularly from sewage-impacted rivers and from properties affected by flood events. Data will be analyses using advanced bioinformatics to characterise community structure, resistance genes and
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genomics, microbial ecology, and bioinformatics, the project will generate a curated catalogue of phages host relationships, and enzymes for future experimental validation. Approach and Methods Metagenomic
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic bioinformatics techniques to respiratory samples and developing analysis and interpretation approaches
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aims to characterise the sequence, structural, and functional properties of UL-CDRs using deep learning and structural bioinformatics, with the goal of identifying novel antimicrobial peptide candidates
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the possibility of evolutionary convergence. Training and Skills Development You will gain expertise in: Molecular biology: RNA/DNA extraction, library preparation, next-generation sequencing Bioinformatics
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these could be developed into biomarkers. The student will sequence small RNAs from blood samples of healthy controls and individuals with DLB or AD. Using advanced bioinformatics, they will analyse small RNA
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decisions about personalised phage therapy. The expected workload is mainly computational, using bioinformatics analyses to investigate the microbiome and phageome with supporting laboratory work for DNA
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, mechanistic enzymology, bioinformatics and microfluidic engineering are advantages. Applications should contain a description of research interests (e.g. as part of the cover letter), a detailed CV (with exam
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-throughput screening, mechanistic enzymology, bioinformatics and microfluidic engineering are advantages. Applications should contain a description of research interests (e.g. as part of the cover letter), a