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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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of accurate, timely, and insightful financial information to support sustainable financial health. Key Responsibilities: Statutory Accounting and Audit Management Monthly Close and Financial Reporting Banking
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This post creates an opportunity to further your career in big data analysis and complex cardiovascular diseases! We are looking for a holder of university degree in computational biology
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without sectioning, but its use is limited given the typically long acquisition times. The overall aim of the project is to decrease image acquisition speed by acquiring less/noisier data but still achieve
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of accurate, timely, and insightful financial information to support sustainable financial health. Key Responsibilities: Statutory Accounting and Audit Management Monthly Close and Financial Reporting Banking
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experience in data management, analysis, and visualisation. You will demonstrate experience working with large-scale biological datasets, preferably from biobank studies (e.g., UK Biobank, China Kadoorie
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. They should also be comfortable working with large data sets, such as social media data and/or longitudinal survey data. Additional information The post is full-time for two years, to start on or soon after 1st
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. About you The successful candidate will have training in environmental science/engineering, water engineering, or equivalent subject, experience managing interdisciplinary research projects or large-scale
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University you will develop, optimise, and oversee our analytics data architecture, tools, and pipelines. You will engineer solutions that allow for the efficient and reliable handling of large scales of data
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for large-scale multiomics datasets, particularly those derived from single-cell, spatial, and 3D genome experiments in a variety of disease and developmental systems, such as, gametogenesis and early