11 computational-physics-"https:"-"https:"-"https:" Fellowship research jobs at University of Leeds
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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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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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degree (or have submitted your thesis before taking up the role) and research experience in Physics and/or Engineering along with significant experience in experimental liquid crystal physics, including
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School of Physics and Astronomy. You will carry out a research programme analysing stellar populations and chemical enrichment processes in galaxies using large galaxy surveys such as SDSS and DESI, as
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core team. To increase integration with the UKESM team, while this is a University of Leeds position, the successful candidate will be physically based at the Met Office in Exeter, where the bulk
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the School of Mechanical Engineering. The project is part of a new £7M EPSRC funded Programme Grant that brings together a team of researchers from the universities of Leeds, Durham and Manchester
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and computational environment. You will join an institute that includes different expertise and substantial experience in supporting early-stage researchers in a key phase of their career. We encourage
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Nikolaos Nikitas, Professor in Structural Dynamics and Engineering, Dr Raffaele De Risi, Associate Professor in Civil Engineering, Dr Evangelos Pournaras, Professor in the School of Computer Science and Dr
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health data. In combination, this permits a more process-based understanding of malaria risk enabling targeting of interventions based on specific eco-hydrological settings. Main Duties and
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obtaining) a relevant PhD and have expertise in a relevant area of atmospheric science (or a related physical science). You will be able to demonstrate commitment to publication of original results