14 parallel-computing-numerical-methods Fellowship research jobs at University of Leeds
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the computational work. If you are looking for a role that will provide new knowledge on a very important membrane protein, apply today. As Research Fellow your main duties will include: Working with and in support
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enhancement interventions and activities are numerous. This programme applies a broad interpretation of pedagogic research, including the influence of the wider aspects of the student experience on a student’s
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understanding how tropical forests and tropical deforestation impact local and regional climate with a focus on temperature and rainfall. In this project you will use state of the art numerical climate models
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programme grant “Total Body Nuclear Imaging for the Development of Nanotheranostics”. This Programme involves 15 co-investigators in a range of disciplines related to PET imaging strategies
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principally make use of qualitative methods, especially documentary analysis, interviews and observations. The 3 Research Fellows will join the project for three years from September 2026, focusing respectively
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to support you in the development of your independent research and innovation career. As part of the programme we will offer you flexible support, including induction, mentoring and career development planning
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of older people living with frailty. You will join this established team of mixed-methods researcher. You will have a skill set that aligns with our existing research portfolio as further research capacity
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collection methods and tools, analysis of results and publication in high impact journals. This role will be based on the University campus, with scope for it to be undertaken in a hybrid manner. We are open
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sustainable market entry. This project is part of a UKRI‑BBSRC-funded programme based at the University of Leeds, working closely with collaborators at the Universities of Manchester and Warwick. The project
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principally make use of qualitative methods, especially documentary analysis, interviews and observations. The 3 Research Fellows will join the project for three years from September 2026, focusing respectively