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Starting date: Oct 2026 Funded PhD project (UK students only) Vision We are looking for a highly motivated PhD researcher to join a multidisciplinary project developing environmentally friendly
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laboratory analysis of polar ice core gases is highly desirable. The research will include system development and testing in the Ice Core Gas Lab at the British Antarctic Survey and an extended stay in
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) to work on the development of an Amazonian Early Warning System (AmEWS) integrating Earth Observation data, process-based ecosystem models, and advanced machine learning approaches. The position is embedded
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sustainable food or physical activity policies in local government, and how these actors exert influence. Many UK local governments face challenges in developing healthy and sustainable food or active travel
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research activities. In close collaboration with colleagues across the department, the position holder will contribute to maintaining and further developing an infrastructure that delivers state of the art
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the climate system through the development and utilisation of geospatial foundation models for clouds in the context of climate research. Successful applicants will work closely with IBM and our international
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package totalling approximately $47,000 per annum tax exempt (2025 rate) a four-year Research Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a
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Communication, the Faculty of Social Sciences and Humanities and the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, the Faculty of Medicine. AI:GENE-XPLAIN develops AI tools
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operational constraints of complex HVDC infrastructure, drawing on real-world insights into converter stations, auxiliary systems, and system availability factors. The role will involve developing data-informed
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auxiliary systems that are integral to the operation and safety of offshore platforms. Working within a multidisciplinary environment, the researcher will develop advanced diagnostic models, analyse complex