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these barriers by putting together a world-leading data resource on suicide and self-harm, and powerful machine learning methodologies compatible with epidemiological principles to produce high-quality evidence
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INTENSIVE LEARNING ACADEMY FOR INNOVATION IN HEALTH AND SOCIAL CARE The All-Wales Intensive Learning Academy for Innovation in Health and Social Care has been developed to deliver a world-class learning
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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• Data visualization solutions (i.e. Power BI, Tableau, Google Data Studio) for producing reports • MATLAB/PYTHON/R/C programming • Application of Machine Learning Algorithms Selection process Please
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maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods
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shaving/shifting, voltage and frequency support, and virtual inertial response. Due to the volatile and intermittent nature of RESs, in this project, machine learning (ML) methods are used to accurately
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of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2025/26) and an annual top of £1200. Additional research expenses of up to £1,000 per year will also be available. Selection process
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equivalent as defined by Swansea University). Selection process Please see our website for further information Website for additional job details https://www.swansea.ac.uk/postgraduate/scholarships/research
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process Please see our website for more information. Website for additional job details https://www.swansea.ac.uk/postgraduate/scholarships/research/suicide-prevention… Work Location(s) Number of offers
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of the most pressing global threats to human health, agriculture, and food security. The misuse and overuse of antibiotics have accelerated the natural evolutionary process of resistance, rendering many