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cancer biology, molecular biology, medicine, or neuroscience. Your expertise will include molecular biology techniques, advanced microscopy, quantitative image analysis, and primary tissue culture, all
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to cutting-edge research exploring how artificial intelligence (AI) is reshaping and transforming strategy formulation and execution. This position offers a unique opportunity for a researcher who is
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and research excellence, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham is an incredible place
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accessibility, flexibility, scalability, and scientific rigour. Funded by STFC for five years, SAMS brings together researchers from the Universities of Exeter, Warwick, Cambridge, and Sheffield. The codes will
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disclosure. Further info: https://bit.ly/3DP5K8y Working at Durham University A globally outstanding centre of teaching and research excellence, a warm and friendly place to work, a unique and historic setting
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pathways, specifically chromatin and small non-coding RNAs, in regulating gene expression in the parasitic nematode Strongyloides. In this role you will use Strongyloides epigenetic profiling data
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characterisation systems, vacuum beamlines, high-pressure gas cells, and optical diagnostics. Our numerical simulations rely on our own open-source code, Luna.jl (https://github.com/LupoLab/Luna.jl ). More details
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University A globally outstanding centre of teaching and research excellence, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading
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including Dr Keith Winwood (Manchester Met), and Prof Lukasz Kaczmarczyk (University of Glasgow, and founder of open-source finite element code MoFEM). Key Responsibilities The key technical responsibility
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including Dr Keith Winwood (Manchester Met), and Prof Lukasz Kaczmarczyk (University of Glasgow, and founder of open-source finite element code MoFEM). Key Responsibilities The key technical responsibility