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can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models
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the direction of the principal investigator, conducts highly specialized and technical research involving animal models of cardiovascular development. Among the key duties of this position are the following
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• Training courses in cutting-edge technologies (OMICS technologies, innovative human infectious disease models (e.g. organoids, iPSC), bioinformatics, AI) and soft skills required for a successful career
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publications; disseminate study results and research findings in journals and conferences. Perform advanced computational modeling using finite difference and discrete element modeling programs. Perform advanced
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Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management
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key properties of quantum machine learning models—expressivity, generalization, and adversarial robustness, and the inter-play between them. These foundational insights will guide the design of novel
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comprising chemists with expertise in organic chemistry, reactor design and innovative process analytics, and engineers with skills in fluid modelling, Life Cycle Assessment and sustainability. You will
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and healthcare system simulation modelling will be useful for evaluating these options. To that end, this team will develop a novel analytical simulation framework and use it to address these pressing
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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work
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to £41,478 per annum. An exciting opportunity for an established researcher or a recently completed PhD researcher with experience in malacology, epidemiology, data mapping and/or schistosomiasis modelling and