33 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL" positions at Queen's University Belfast
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Health. This role offers the opportunity to build on our extensive track record and ongoing work in developing AI solutions for healthcare, while contributing to the next generation of predictive tools
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to multiple research and capacity strengthening projects across the School / Faculty and further building on national and international collaborative links with health and social care services and service users
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learning expertise relevant to nursing and midwifery practice and will be expected to contribute to multiple research and capacity strengthening projects across the School / Faculty, further building
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System, manage asset registers, safety procedures, provision of quality reports and manage handover information from Development. Prepare and maintain a 5-year rolling programmes for PPM. To manage
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We seek to appoint a highly motivated postdoctoral research fellow to primarily contribute to our research development of AI Models for Autonomous Vehicles, as well as other relevant research
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technologies and have the opportunity to grow and develop as an engineer and technology leader. Our mission is to provide you with the environment to innovate and create impact. Our experienced team of staff has
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responsible for developing and managing the delivery of specific projects as part of an aspiration and attainment raising Programme (e.g. Junior Academy, Junior Academy Sports, Senior Academy, Pathway
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for undertaking coastal community based transdisciplinary research. Working effectively as part of a research team in the development and promotion of ocean-climate literacy. Willingness to contribute to project
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careers in academia, industry, and beyond. The postholder will play a key role in supporting the School’s teaching strategy through the development and delivery of innovative learning and assessment methods
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research. The post offers the successful applicant an opportunity to develop and manage an area of kidney research supported by a multidisciplinary collaborative team. Kidney disease is an increasingly