84 parallel-computing-numerical-methods Fellowship positions at University of Nottingham
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) days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We
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10 Oct 2025 Job Information Organisation/Company University of Nottingham Research Field Biological sciences » Other Chemistry » Other Computer science » Other Medical sciences » Other Physics
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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methods. Ability to assess and organise resource requirements and deploy effectively. Ability to build relationships and collaborate with others, both internally and externally. Some practical experience
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illuminate data, interprets reports, evaluate and criticise texts and bring new insights. Ability to creatively apply relevant research approaches, models, techniques and methods. Ability to assess and
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multiple stage metal hydride compressors, prototypes, system integration, next generation metal hydride materials, heat transfer media and novel hydrogen extraction methods. The role-holder will work in a
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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Applications are invited for a Research Associate/Fellow on an NIHR Invention for Innovation (i4i) Programme-funded project in the Breast Cancer Pathology Research Grou within the Nottingham Breast
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science methods to understand barriers to uptake of precision bred crops in the UK. The second project focuses on developing an ethical framework for zoonotic disease management to support a One Health