55 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" positions at Swansea University
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developers, system architects, and service managers to translate complex technical information into clear documentation, user guides, and marketing materials tailored to a variety of audiences including
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Engineering principles to prepare students for NHS hospital placements. They will undertake administrative duties, such as module management, marking, timetabling and admissions. Further, there will be
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introducing and developing students’ understanding and enquiry, possess a strong academic background, and be dedicated to creating an engaging learning environment. You will play a pivotal role in delivering
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introducing and developing students’ understanding and enquiry, possess a strong academic background, and be dedicated to creating an engaging learning environment. You will play a pivotal role in delivering
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to individuals with a passion for teaching language, literature, and cultural studies. The post holder will support the development of students’ written and spoken Welsh through small-group seminars, workshops
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on delivering innovative data science solutions for medicines management. This 4-year Programme will develop and apply statistical methods using large linked electronic health records to identify adverse drug
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disease modelling, optimisation, and visualisation. The RA will work within the Swansea Modelling Team for 22 weeks, contributing to the development and deployment of tools that support real-world
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sector, and the role is a great opportunity for those that are eager to contribute to the prosperity of the Welsh language within the Swansea Bay region and beyond by developing new speakers. The post
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opportunity for those who are keen to contribute to the prosperity of the Welsh language within the Swansea Bay region and beyond by developing new speakers. This role requires delivery of high-quality teaching
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2027 working full-time. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and