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groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will be working in the research group of one of the PIs
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uncertainty. Relevant areas include interpretable probabilistic, causal, Bayesian, and knowledge-based networks. While expertise in electromagnetics is not essential, applicants must be willing to broaden
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Computational Neuroscience and related fields as part of the Medical Research Council, UKRI grant “Algebraic topology bridging the gap between single neurons and networks”. They will be expected to conduct
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sector. This is an exciting role, with the opportunity to work in an interdisciplinary team as part of the wider network of researchers within the HPRU. We are looking for a candidate who is motivated
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post is designed to offer a unique opportunity to work at the intersection of academic research and agricultural policy, developing and disseminating new knowledge for networks of UK farmers
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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to international research networks, interdisciplinary collaborations, and career development programs. Support for international researchers, including assistance with visa applications, work permits, and relocation
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comfortable budget to conduct both project-related activities and activities related to their independent career development; iv) benefiting from the team wide academic and not-academic network, including
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, green business, decision support. Understanding of the net zero and/or circular economy. Research Excellence Proven strong track record of high-quality publications. Ability to work independently and
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trans-disciplinary research and develop innovative solutions to the inclusion and net zero challenges facing twenty first century urban mobility. The ideal candidate will have: Demonstration of at least