52 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" Fellowship research jobs at University of Birmingham
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for Global Health (GGH) initiative is a four-year, Gates Foundation–funded programme led by Dr Claudio Fronterre and Prof Emanuele Giorgi at the University of Birmingham, in partnership with the NTD Modelling
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Breadmore’s research team in the School of Education, University of Birmingham. The project is a collaboration with Dr Emma Vardy (Nottingham Trent University) and is being independently evaluated by colleagues
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organising of the research programme and/or specific research project The ability to coordinate work with others and to work within a research team to achieve common goals, avoid conflict or duplication
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laboratory space, including a 200 m2 set of clean room facilities, and we maintain a Tier 2 site as part of the UK contribution to LHC world-wide distributed computing. The School of Physics and Astronomy is
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and how to present the bid to maximise the likelihood of securing the funding. Scope of the role: • Work closely with the ReLiB scientists to measure their life cycle inventories, provide LCA
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collaborators with material, and develop an understanding of the relationship between shredding conditions, safety, and recyclability Characterising, separating, and purifying, cells, cell components, and black
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in Coventry in 1939, they supply titanium fasteners for the airframe of aircraft. A multi-award-winning site with national awards in categories including training and development, health and safety
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Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within the research programme of the Elementary Particle Physics Group. To work on detector
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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during