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management of sport injuries, with emphasis on safety rather than performance. You will be part of an interdisciplinary team of pioneering researchers, with the primary aim to develop cutting-edge robotics and
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master-level students, as well as undergraduate interns. The post-holder will have the opportunity to teach. This may include lecturing, small group teaching, and tutoring of undergraduates and graduate
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proteome in heart-specific cell lines and primary tissue. It will utilize disease model systems to characterize unique cell surface signatures for cardiomyocytes, coronary endothelial cells, and fibroblasts
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. The position is available for a fixed term of 36 months from time of appointment. This project is associated with a new EPSRC/UKRI-funded project entitled “Mastering charge-lattice interactions in novel
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About the role You will undertake original research on the technical integration and economic evaluation of second life batteries for power grid energy storage, focusing on clean electricity access
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(or up to the end of June 2028). You will undertake original research on multi-agent reinforcement learning to coordinate grid-edge flexibility across spatial and temporal scales, while accounting
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administrative activities. Previous experience contributing to articles for publication and experience in whole-tissue or in-cell imaging is desirable. It is preferrable that you hold a Masters degree in
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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; a broad range of interests and openness to new research directions will be a welcome trait. The post-holder may be expected to help in the supervision of DPhil and master-level students, as
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, genetics or other related discipline, and have experience of the genetic/molecular analysis of human diseases, such as cancer. You will be able to work with a high degree of independence, to learn rapidly