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Field
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necessary. This includes general lab duties (maintaining supplies, consumables and equipment), processing samples, preparing reagents; cataloguing frozen samples; maintaining inventories; and some data
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collaboration that has mapped emotional hotspots in four cities in the UK and EU using spatial analysis of social media data. The next phase of the project aims to incorporate explainable AI (XAI) to interpret
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, development, implementation, and coordination of research and laboratory protocols to investigate transmission of enteric pathogens in low-income households of Salvador, Brazil within the context of large-scale
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experience in data management, analysis, and visualisation. You will demonstrate experience working with large-scale biological datasets, preferably from biobank studies (e.g., UK Biobank, China Kadoorie
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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markers of pragmatic development. The project will investigate early child language data that serves to facilitate dialogical interaction, such as vocatives (e.g. ‘Mummy, where ball?’), response markers
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to our student teams. The roles will deliver a proactive and supportive service: working effectively as part of a large team, to assist in the delivery for student athletes. Shifts will be based around
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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skills to support the current phase of data collection for a large ongoing longitudinal twin study. The Environmental Risk (E-Risk) Longitudinal Twin Study (see https://eriskstudy.com/) has been following
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach