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, you'll work with large-scale multimodal datasets, clinical trials data, and population imaging studies to drive innovation in personalised medicine and in silico trials. If you're passionate about pushing
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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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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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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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in these elements leads to common and rare disease. You will work with large scale genome sequencing datasets (e.g. UK BioBank, 100,000 Genomes Project, gnomAD) and RNA-Seq data, adapting and applying
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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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. 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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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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, including data from ELISA, PNA, ELISPOT, flow cytometry, B and T cell receptor sequencing, and transcriptomics. You will develop a reproducible informatics and machine learning pipeline to process large