24 computational-physics "https:" "https:" "https:" "https:" "Grenoble INP Institute of Engineering" Fellowship positions 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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visit: www.gov.uk/skilled-worker-visa ; For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent
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discussing flexible working arrangements. Would you like to be part of a major collaborative research programme to help tackle transport’s contribution to the climate crisis? Are you looking to apply your
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online process analytical technology (PAT), embedding sustainability metrics into the optimisation loop, and apply transfer learning to accelerate the transition from batch to continuous flow processes
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on the costs of delivery of safely managed urban sanitation services (https://cactuscosting.com/ ). We are looking for a Senior Research Fellow to join our team and lead the development of the next phase of
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visa. For more information please visit: https://www.gov.uk/global-talent To explore the post further or for any queries you may have, please contact: Professor David Meads; email: D.Meads@leeds.ac.uk
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/skilled-worker-visa For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent If you are looking for a
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tailored to your career goals. You will have, or be close to obtaining, a PhD in deep learning, computational geosciences, computer sciences, mathematics, or physics, and have experience of developing and