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The Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. The NDPH Fellowship programme is intended to support suitably experienced individuals to develop an...
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The Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. The NDPH Fellowship programme is intended to support suitably experienced individuals to develop an...
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opportunity to work and be trained within a highly interdisciplinary consortium and laboratory with an established track record across areas spanning engineering, mathematics, physics, biology and medical
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trained within a highly interdisciplinary consortium and laboratory with an established track record across areas spanning engineering, mathematics, physics, biology and medical applications. The Esposito
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experiences in simulation-based experiments in networking research Strong mathematics background for optimization and analytical modelling of complex systems Programming languages including C++/Python and
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at AstraZeneca, Cambridge, as a part of a collaboration between the University of Birmingham and AstraZeneca on the characterization of biopharmaceuticals to support the development of mathematical models
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to better diagnose male fertility and contribute to non-hormonal contraceptive research. Your role will be to use mathematical modelling and data science to develop methods for understanding sperm flagellar
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engineering, computer science, applied mathematics, statistics, artificial intelligence, audio engineering, or a related subject; and research experience in research experience in audio signal processing, audio
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search using vacancy reference B02-08769. About you You will hold a PhD in neuroscience, engineering, computer science, mathematics, physics, or a related field, and have practical experience with in vivo
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engineering, computer science, applied mathematics, statistics, artificial intelligence, audio engineering, or a related subject; and research experience in research experience in audio signal processing, audio