52 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIVERSITY-OF-SOUTHAMPTON" 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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Career Pathway. The successful candidate will make a significant contribution to the paramedic science programmes which are designed to prepare students for the dynamic, uncertain and unpredictable world
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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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journey by undertaking a pre-registration nursing degree leading to registration with the Nursing and Midwifery Council, as well as qualified nurses wishing to undertake continuing professional development
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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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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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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
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construction, social housing, green infrastructure, and nature based solutions. They will develop a ‘braided’ transdisciplinary approach to their research questions and co-create new research and activities with