178 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Tilburg-University" positions at University of Sheffield
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of clinical skills teaching, patient encounters and assessments. A key part of the role is to work alongside the Clinical Skills Lead in the development and delivery of high quality simulation and clinical
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, the postholder needs to be able to identify literature and update own knowledge, assessing the validity of the relevant literature and its contribution to the development of own field. Determine novel research
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and development administration as needed. Provide project administration support as needed, using appropriate packages and processes. Support with marketing activities as required. Any other duties as
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Overview The Social Media Team enhances the University’s reputation by leading the development and use of social media channels for current and prospective students, staff and academics, funders
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for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks). Recognition Awards to reward staff who go above and beyond in their role. A
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to the School's objectives, noting their specific experience and seniority. Lead the development and implementation of tailored student and alumni awareness campaigns around specific rankings, accreditation and
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. Assessment stage: Interview / Application Technical Professional Registration or a commitment to Continuous Professional Development. Assessment stage: Interview / Application Effective communication skills
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Landscape Award at the University of Sheffield. Access to reliable, affordable, and sustainable energy is a cornerstone of socio-economic development. Yet in many emerging markets, particularly across Sub
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, disease models, drug discovery and bioinformatics. • Impact: This is not just basic research; it is a translational pipeline. Your work will directly contribute to the development of novel therapeutic
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treatment window may already have passed. Project Aim: This project proposes the development of an innovative approach that applies computer vision and machine learning to detect early signs of stroke through