155 parallel-computing-numerical-methods-"Prof" positions at University of London in United Kingdom
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. The main responsibilities of the post are to support the Employer Engagement and Communications Manager in developing the annual Employer Engagement programme, forging strategically important relationships
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to the set-up and conduct of a funded research project aiming to co-create a national weight management programme in Thailand. The duties of the post will involve coordinating and writing ethical approval
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ETL/ELT methods and creative techniques to build accurate and scalable data models. The role holder will champion the adoption of BI tools across the business through training and user support. In
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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activities and aims to be an internationally recognised centre of excellence in population health and preventive medicine. The post-holder will be a staff member of the Centre for Evaluation and Methods (CEM
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knowledge of the SITS student records system, including analysis of data. Presentation skills and ability to prioritise own workload is essential. The successful candidate will be numerate and good at multi
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. You will update webpages, input and check numerical data and contribute to professional documents, so will have a good level of literacy and numeracy, and will be a proficient user of key Microsoft 365
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data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
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prevent chronic conditions. This KTP project builds the collaboration between DDM Health Ltd., Coventry, and Department of Computer Science and Department of Biological Sciences, Royal Holloway, University
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals