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, or be close to completing, a PhD in mathematics or a related discipline, and possess sufficient specialist knowledge in either random matrix theory, analytic number theory or probability to work within
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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at meetings/conferences. • You must hold a relevant PhD/DPhil in Pharmacology or neuroscience (or be close to completion) with experience in conducting in vivo mouse behavioural experiments
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of migration in cetaceans’. The post holder will provide guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students. The post holder will
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high fidelity models of ice crystal icing accretion and shedding, verifying tools using the wealth of unique experimental validation data generated by researchers at the Oxford Thermofluids Institute
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of Medical Sciences (AMS). Find out more about the Aye research and group here : About you Applicants must hold a PhD in Chemistry, Chemical Biology, or a related area (or be close to completion), prior
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will hold, or be close to the completion of, a relevant PhD/DPhil together with relevant experience. You will have experience in experimental high-pressure and/or high-temperature research, ideally with
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blotting, microscopy, and drug/compound co-treatment in cellular assays Experience in antibiotic drug discovery You must also: Hold a PhD/DPhil in medicinal chemistry and chemical biology, together
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to model immune-mediated kidney injury. Quantitative and reproducible read-outs from these assays will be correlated with human kidney ‘omics data to evaluate the impact of pathway modulation, ultimately