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Federated learning (FL) is a privacy-preserving distributed learning paradigm that allows different clients to create a shared AI models without having to share their data. Despite these advantages
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behind this efficiency by developing a general model of wing mechanosensing, revealing how sensor distribution and morphology have co-evolved with flight dynamics. The successful applicant will: Measure
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household-level impacts. Simulate the effects of policy scenarios (e.g., shifts from standing charges to alternative pricing mechanisms) on different archetypes, analysing implications for energy
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that influence global ocean mixing, heat and nutrient distribution, and climate dynamics. Despite their importance, these currents remain poorly understood due to their intermediate scale and intermittent nature
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individually, make a real difference. About the role The Department of Computer Science at the University of Surrey is seeking to recruit a full-time postdoctoral research fellow to work on a range of topics in
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The Smart Internet Lab is looking for three highly motivated, enthusiastic researchers at different career stages, with a passion for telecommunication networks and their evolution towards
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range of methodologies including developmental and cell biology, cancer biology, next generation sequencing and computational modelling. The Hill lab encourages creative and independent thinking and
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research funding with a projected rapid growth in research staff. The Centre is multidisciplinary in its structure and distributed leadership, welcoming researchers from different disciplines whose work