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able to conduct a range of bioinformatic approaches involving the use of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand
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bioinformatics. The role will be responsible for developing and characterising human dorsal root ganglia cultures to benchmark the newly developed iPSC derived organoid model systems. This will include processing
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nuclear calcium oscillation decoding using bioinformatic and AI approaches. The successful applicant will creatively investigate the dynamics of regulator networks at the interface of arbuscular mycorrhiza
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screenings Bioinformatics analysis (mainly scRNAseq and Hi-C analyses) Cell culture - Mammalian cells, primary cells, organoids, functional assays (co-cultures, T cell cytotoxicity) Flow cytometry analysis
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be determined by the funding available. About you You will hold or be near completion of a PhD/DPhil in Computational Biology, Bioinformatics, Genomics, or a closely related field, with significant
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assembling and analysing chromosome-level genomes Experience identifying genomic targets of selection Excellent molecular biology lab skills Excellent bioinformatic skills At least one peer-reviewed
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including a flexible and pragmatic approach. Desirable: D1. Skills in RNA sequencing analysis, single-cell and spatial transcriptomics D2. Skills with bioinformatic analyses. For Appointments at Grade 7
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics
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Buckley and will closely collaborate with other team members in Oxford such as Tissue Biology Lead Dr Matthias Friedrich, Computational/Bioinformatics Lead Dr Calliope Dendrou, Data Management Lead Prof