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organised specifically for the appointed person, in terms of the split between clinical and academic work. The post represents an exciting opportunity to combine clinical work with a programme of high-quality
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Overview We are seeking to appoint a non-standard Admissions Officer to support the School’s non-standard admissions activities required for healthcare courses, including the organisation of interview schedules, and attending interview days providing key support. You will undertake a range of...
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confidentiality. Why does this matter now? Wearable devices have made round-the-clock health data commonplace, cloud computing places vast processing power at our fingertips, and patients are demanding care
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-resolution imaging and reconstruction of neural tissues (see https://ist.ac.at/en/research/siegert-group/). Leveraging computational tools such as machine learning and topological data analysis, we will
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collaborate with researchers at Ludwig Maximilian University, Munich and Centre Algatech, Trebon, Czech Republic, as part of the Synergy research programme. The aims of the Sheffield part of the Synergy
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. Identify, create and provide a training and development programme tostaff on contracts and contract negotiation. Develop and implement an efficient contracting process, including an appropriate, transparent
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Sellafield Ltd, and be part of a comprehensive doctoral training programme in this area at The University of Sheffield, led by the primary supervisor Dr Brant Walkley, in collaboration with Sellafield Ltd. and
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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics
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together with a dynamic and friendly team of researchers across two different laboratories including cell biologists, biophysicists and computational experts. This project will give you the opportunity
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. The ability to accurately model these molecules using computational chemistry is limited due to a lack of efficient Gaussian basis sets that systematically reduce errors as their size is increased. In