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point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics, spatial biology and AI/ML projects. We co-lead the Applied Bioinformatics MSc, run
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Investigator (Director of AI Research at OVCARE, Dr. Ali Bashashati). Responsibilities Designs and implements machine learning models for bulk and single-cell genomics and transcriptomics. Analyzes spatial
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tumor microenvironment (TME) following immunotherapy using state-of-the-art single-cell and spatial profiling approaches. Our group studies ecological mechanisms in early lung cancer development and
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to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations that determine
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research aimed at quantifying or modelling the state and function of soils across spatially variable landscapes. Applied experience in using statistical and mathematical tools to analyse and interpret soil
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molecular mechanisms linking CVD and cancer progression. Apply cutting-edge techniques including spatial transcriptomics and single-cell multiomics and integrate multi-omics data to identify therapeutic
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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remission as a model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations