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committed with a keen interest in creative and multidisciplinary research • Significant experience in data analytics, statistics and/or urban analytics • Experience in urban environmental sustainability
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data analytics to uncover and predict patterns in large multimodal datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement
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candidate will conduct hands-on empirical research that embraces both experiments and modelling and be responsible for three stands of research (i) using industrial data (and working with industry) to model
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. Good report writing and presentation skills Good analytical skills and computer skills. An ability to work independently to a tight schedule. Experience of bacterial growth and optimizing growth media
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, organising and analysing data, supporting thematic and narrative analysis of legal judgments and statutory reports, contributing to the development of an interdisciplinary analytical framework, and assisting
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students. The post holder will develop an analytical framework to achieve the grant objectives. Specifically, the postholder will write and publish scientific papers on applying extinction risk models
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records and ensure high standards of research data management and reproducibility. Engage actively with project partners and participate in regular meetings to report progress. Contribute to research
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develop an analytical framework to achieve the grant objectives. Specifically, the postholder will write and publish scientific papers on applying extinction risk models derived from fossil marine
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are looking for a researcher with a PhD (or near completion) in engineering, data science, computational social science or a related discipline, with experience in data analytics, NLP or machine learning. You
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previously been subject to various analyses. The analytical data is currently preliminary and incomplete. You will work with the unpublished dataset, identify data gaps and to carry out new analytical work