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Economist to join the Macroeconomics team, working with our world renowned NiGEM model. The purpose of the role is to maintain the historical data for NiGEM database and support the macro-modelling team’s
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, including meta-analysis using PLINK 1.9 (fixed-effects inverse-variance model), conditional analysis using REGENIE, and fine-mapping of HLA–protein associations. You must hold a first degree in Genomic
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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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properties. Perform characterization using SEM, confocal microscopy, and thermal imaging tools. Use computational modeling to guide surface design and analyze thermal behaviour. Conduct vacuum testing
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://www.richardslab.org/ In your application please include a cover letter stating how you match the person specification. Role Summary Work within specified industry grant Recruit families to the study Contribute to data
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internationally renowned centre at the forefront of the generation and use of mouse models for the study of human disease. The MLC offers a range of mouse services to support researchers with generation and
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“Good Clinical Practice”). Contribute to the preparation of recruitment materials (information leaflets and consent forms), interview topic guides and the study protocol. Conduct telephone “check-in
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remotely. Skilled in descriptive analysis, data modelling and graphic interfaces. Demonstrated expertise in analytical and statistical tools. We support flexible and family-friendly working and are open to
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occasional support in other areas within the school. You will help and assist in developing and testing of aerodynamic models using various design & manufacturing equipment and carry out relevant tests in
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity