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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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with advanced bioinformatics and AIdriven analysis. You will work alongside molecular biologists, pathologists, and data scientists to generate and analyse multimodal datasets that uncover new prognostic
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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microbiological culturing, molecular skills, bioinformatics and statistics. The project is flexible and can be guided by the interests of the student. Please apply for this project using this link: https
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immunohistochemistry, microscopy and live cell imaging. Essential Application Experience in image analysis or bioinformatics analysis. Essential Application Knowledge of programming languages, e.g. Python/R, and the
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bioinformatics analysis skills Essential Application/Interview Significant leadership experience in neurology teaching and research Essential Application/Interview Proven track record of producing high quality
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. Isolate cells from atherosclerotic plaques and prepare samples for single-cell RNA sequencing. Perform bioinformatics analysis of single-cell RNA sequencing data to identify novel EV-related pathways and
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that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD in bioinformatics, computational biology, genomics or a
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) culture models. These findings will synergise with our spatial bioinformatic profiling of these tumour models and will be used to develop potential DDR-targeted combination therapies with as much pan-tumour
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lab https://sites.google.com/sheffield.ac.uk/lahirilab/) with structural bioinformatics (Chaudhuri lab, https://www.sheffield.ac.uk/biosciences/people/academic-staff/roy-chaudhuri) and plant genetics