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quantitative discipline (e.g. mathematical modelling, geo-statistics, machine-learning) Experience developing and applying statistical or machine learning models to real-world data Strong coding skills (e.g. in
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About the Role We are seeking a Head of International Student Recruitment to join the Global Engagement team at Queen Mary University of London. The Global Engagement Office (GEO), part of
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Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
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Contribute to the supervision of junior researchers and students as opportunities arise A PhD in a relevant quantitative discipline (e.g. mathematical modelling, geo-statistics, machine-learning) Experience
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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(e.g. phonetic, typological, geo-historical, topographical, and sociolinguistic) variably promote or inhibit prosodic convergence between languages in contact, and map findings on a digital multi-modal
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. About the Department The Global Engagement Office (GEO) is a team of 40+ HE professionals who support the delivery of Queen Mary's global ambitions, working closely with the VP International and as part
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, test, implement and monitor innovative bio-based and geo-based lower carbon products and facade solutions to improve the energy efficiency and whole life impact of buildings. As well as delivering high
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of data sources is up to date. Check the validity of updates. Support the development of the database as appropriate. Support the publication of the quarterly GEO (including creating charts and data
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international partnerships and helps to deliver impact through global collaborations. It comprises professionals with expertise in partnership development, global communications, geo-political analysis, and