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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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, 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
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Faye Ritchie (faye.ritchie@adas.co.uk ), placement to gain work experience with the agricultural industry Entry requirements Essential BSc in Biological Sciences, Biochemistry, Bioinformatics, Genetics
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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