154 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of London in United Kingdom
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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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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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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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Cancer Research, this study aims to identify the most effective way to screen for prostate cancer in men across Yorkshire. By testing different recruitment strategies and screening methods, the study will
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for Evaluation and Methods, a thriving research centre incorporating four collaborative units working closely together to deliver outstanding research based on their combined and complementary research strengths
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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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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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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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. 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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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