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Full Time, Fixed Term for 4 Years (48 months): start date 1st October 2026 35 hours per week UHI Perth is one of Scotland’s leading Colleges of Further and Higher Education, and a large partner in
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using liquid biopsy next generation sequencing data for cancer diagnostics. About You Must have a strong background in next generation sequencing data analysis/machine learning, cancer and/or genome
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large-scale observational constraints will be used to constrain and advance climate models, and to attribute climate response to SRM. This position will target a critical problem in climate modelling
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford
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of lab ethnography. The life sciences are undergoing significant changes due to the increased use of big data, artificial intelligence and automation. With a focus on laboratory research in microbiology
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using liquid biopsy next generation sequencing data for cancer diagnostics. About You Must have a strong background in next generation sequencing data analysis/machine learning, cancer and/or genome
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential
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cost, as large amounts of photosynthesis products are allocated to mycorrhizal fungi. This project will aim to quantify the carbon cost of symbiosis in different hosts and conditions, explore
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of large-scale biological datasets, applying statistical modelling and computational approaches to high-dimensional data such as bulk and single-cell sequencing, gene expression, proteomics, or metabolomics
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function of various centriole and centrosome proteins using a variety of imaging and analysis techniques in living Drosophila embryos. Experience with advanced light microscopy and analysing large imaging