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project brings together communication science, health psychology, and behavioural and cognitive science in an integrated mixed-methods design. Two closely aligned PhD tracks follow a shared three-stage
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localities and will use that data in geochemical and geophysical numerical modelling. The team will work on three main tasks: Improve the accuracy of plume source composition Quantify changes with tectonic
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strong scientific motivation and interest in archaeology hands-on experience with relevant analytical techniques is an advantage affinity with numerical modelling (Python, R) readiness to travel and work
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beyond the study duration: extreme value theory for long term survival and cure chances”. This project will develop statistical methods and theory for analysing time-to-event data when a fraction of the
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sustainability and operations using state-of-the-art quantitative methods, witnessed by international scientific publications in mathematical optimization and/or machine learning affinity with machine learning
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experience with video analysis and ethnographic fieldwork, has an affiliation with observational and statistical methods, and is passionate about working in an interdisciplinary team. Your duties Stay
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technical questions from researchers worldwide Collaborate closely with computational biologists and statistical geneticists within the department to translate new research methods into user-friendly
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to their organizations. They will focus on conducting empirical work, employing primarily qualitative (i.e., interviews, observations) but also quantitative (i.e., surveys, diary study) methods. One
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proceedings, and publicly accessible brief reports. You will also be responsible for building and maintaining public-facing outputs such as the Cambridge Online Trust and Safety Index ( https://cotsi.org
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courses, popular articles, newsletters, workshops, field days, applied research publications, and media contributions. Assessment: Design and administer a range of assessment methods to evaluate