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Field
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DEMCOMM research programme and contribute to qualitative research activities Support the co-development of a web-based platform to personalise domiciliary care for people with dementia Assist in
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
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Are you passionate about supporting the development of resilient and well-connected communities? Do you have experience of doing engaged and participatory research with community organisations and
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/ec-postdoc-programme/evolution-of-scots-pine-forests-since-the-last-glacial-maximum/ 2. Molecular innovation to explore genome function and host-parasite interactions in Schistosoma mansoni https
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Phenomenology. Members of the group with interest in this area include Professor Ben Allanach and Professor Maria Ubiali. Duties will include developing and conducting individual and collaborative research
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web and mobile development (e.g., HTML, JavaScript, React) Experience with Internet-of-Things (IoT), especially air quality sensor networks Data analysis and visualization skills (Python, R, Google
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skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på nettsiden, slik at vi
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have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding of neuroimaging data to predict subjective
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate
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mission to discover, interpret and disseminate information about human cultures, the natural world and the universe through a wide-ranging program of scientific research, education and exhibition