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in bioinformatics or computer programming. A3. Advanced knowledge of content covered within the courses taught on. A4. Awareness of the intended learning outcomes of the courses taught on. A5
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trafficking and translational regulation. Our bioinformatics analysis reveals that these localised transcripts have a high statistical association with a number of important neurodegenerative diseases
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Bioinformatician MVLS / SCHOOL OF MOLECULAR BIOSCIENCES GRADE 6/7 Job Purpose To make a leading data analysis and/or bioinformatic contribution to the project ‘Somatic instability in Huntington
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preparation on microfilariae for whole-genome sequencing, sequence alignment, bioinformatics and statistical analyses. Using these data the candidate will infer sibling relationships between microfilariae
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tissue and also conduct bioinformatic analysis of mIF and spatial transcriptomic data to help in identifying unique immune signatures of future neoplasia risk from these pre cancer lesions. In addition
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biology, biochemistry, bioinformatics, genetics, cancer modelling and cell biology (including advanced in vitro and in vivo imaging), immunology and polyomics (genomics, transcriptomics, proteomics and
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of health and safety issues and lab cleanliness. Desirable: D1. Skills in bioinformatics analysis D2. Skills with training junior staff/students D3. Familiarity with the literature in the field of research
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to immunologists and host-parasite interactions. Our global expertise is supported by state-of-the-art facilities in imaging, flow cytometry, bioinformatics and protein characterisation. The University of Glasgow
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have some familiarity with bioinformatics and a degree in evolutionary biology or related discipline. References Elmer KR (2016) Genomic tools for new insights to variation, adaptation, and evolution in
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areas of interest including (in alphabetical order): atherosclerosis bioinformatics cancer and leukaemia chemokines and cell migration cytokine biology dendritic cell biology imaging the immune response