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rhabdomyosarcoma), fragmented data from multiple small series has hampered global elementary understanding of metastasis biology and - therefore – targeted therapy development. It remains unresolved – and is
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gestural interaction for music. Proposals should outline a research project that uses time-series classification to support the detection of musical gestures and interactions with different materials and
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disability studies with environmental humanities (cf. e.g. Ray and Sibara [eds] 2017) to outline a series of case studies from across history, literature and/or the arts; it is flexible in terms of which
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untapped potential remains in extracting value from this data. This PhD will explore advanced analytics techniques, including machine learning, digital twin modelling, time series analysis, spectral analysis
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, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least
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political philosophy literature, drafting papers, developing and coordinating a seminar series, and overseeing the development of a journal special issue, and of a podcast on this cluster of topics. You will
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disproportionate loss of muscle mass compared to conventional ‘dieting’, which can have detrimental effects on physical function. The present fully funded PhD studentships will perform a series of human physiology
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standard bank holidays and five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff
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holiday entitlement of 40.5 days per annum (including bank holidays and privilege days) and a generous employee discount scheme. We are also committed to providing training and development opportunities
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to air pollution in the future, and planning further policy changes. This PhD project will develop statistical modelling frameworks that are able to handle large-scale, complex, and correlated time series