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available in the maternal and newborn electronic health record. The datasets will be used to develop models required for early prediction of brain injury associated with CP and to identify the features
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consequences of preterm delivery and caesarean section. The programme is highly interdisciplinary, combining preclinical animal models with molecular and cellular biology, biochemistry, and behavioural science
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& GIS databases that can be processed and integrated into more complex multi-scale land-cover and land-use models. A core output from the overall project will be the development of novel and automated
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neurobiology, immunology, or cancer research, with expertise in working with preclinical glioma models. They should be proficient in brain tissue processing, including sectioning and immunofluorescence staining
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dynamics and how this can be a modulator for the neurodevelopmental phenotype derived out of genetic mutations. We will use in vivo an ex vivo models. The appointee will be focusing on performing confocal
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, Android, iOS) for searching and interacting with cultural heritage data. • Building machine learning models for word-based recognition and processing of Yunnan ethnic minority languages. The researcher will
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phenotyping, transcriptomics, proteomics and modelling to identify and functionally characterise perennial ryegrass and white clover molecular regulators mediating growth responses in a future climate. The