16 parallel-computing-numerical-methods-"Multiple" Fellowship positions 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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Do you have a strong technical background in Machine Learning and Numerical Modelling? Are you interested in working with industry to develop Machine Learning methodologies and protocols needed
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have experience developing and running large numerical models and analysing complex datasets? Would you like to work with a world-leading team at Leeds to connect molecular-scale insight to cloud-scale
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shared between multiple investigators and working on a range of viruses. You should have a PhD (or be close to completion) in molecular virology or a closely allied discipline, with experience in
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allocation and system performance under uncertainty. This includes formulating complex decision problems, designing deterministic and real‑time solution methods, and contributing to high‑quality academic
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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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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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of knowledge, and pursue a PhD in one of the UK’s leading research-intensive universities? GLYCOCALYX is a Horizon Europe Doctoral Network. It offers a multidisciplinary training programme between its academic
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PhD in one of the UK’s leading research-intensive universities? GLYCOCALYX is a Horizon Europe Doctoral Network. It offers a multidisciplinary training programme between its academic and industrial
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PhD in one of the UK’s leading research-intensive universities? GLYCOCALYX is a Horizon Europe Doctoral Network. It offers a multidisciplinary training programme between its academic and industrial