44 postdoc-computational-fluid-dynamics-"Prof" Fellowship positions at University of Nottingham in United Kingdom
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for independent research into the prevention and treatment of skin disease. You will join a dynamic and friendly team of approximately 20 staff and work with a range of clinical and non-clinical academics
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the School of Medicine. Led by Professors Kim Thomas and Hywel Williams, CEBD has an international reputation for independent research into the prevention and treatment of skin disease. You will join a dynamic
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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within a dynamic and collaborative research environment and will contribute to shaping the future of sustainable biomass valorisation. Key Responsibilities • Conduct detailed techno-economic assessments
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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, interpret
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within a dynamic and collaborative research environment and will contribute to shaping the future of sustainable biomass valorisation. Key Responsibilities • Conduct detailed techno-economic assessments
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University, and offers unique teaching and research opportunities in a highly dynamic economy. The successful candidate will be expected to make a significant leadership impact within their academic unit and
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knowledge gap related to scale-up studies. You will join a dynamic and diverse research group and will be expected to participate in research group meetings, contribute to training and mentoring PhD and MEng
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in adults with cerebral palsy; this project has been funded by NIHR Programme Development Grants. You will conduct a scoping review, recruit and interview participants, analyse qualitative data
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We are looking for a motivated research fellow for an exciting MRC-JPIAMR funded project, titled FightAMR: Novel global One Health surveillance approach to fight AMR using Artificial Intelligence and big data mining. The research fellow will take a leading role in an EU-Africa research project,...