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11th October 2026 Languages English English English Faculty of Science and Technology PhD Fellow in Remote Sensing of Rain-On-Snow Preconditioning Sea Ice Melt Onset Apply for this job See
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anthropogenic pressures. It will also provide spatially explicit information relevant to biodiversity conservation, ecosystem management and the preservation of culturally valued mountain landscapes. The PhD
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and research reporting strong quantitative research, data management and analytical skills demonstrable excellent communication and stakeholder engagement skills, with the ability to build effective and
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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Qualifications 1. A PhD in Physical Geography, Ecology, Remote Sensing, or a related discipline (preferably within three years of completing the PhD). 2. Knowledge of the key processes governing
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analytical frameworks. Identifies where cross-modal integration produces genuine signal versus where it introduces noise or artifact; establishes ground truth benchmarks for downstream AI use. Data
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quality; identify opportunities for improvement. Provide oversight of the school’s assessment and continuous quality improvement plan, including quarterly action analytics, developing action plans based
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. Knowledge of sustainability reporting frameworks (TCFD, TNFD, etc.) is a plus. Methods: Strong quantitative skills (econometrics, panel/archival data, field or lab experiments, text analytics, use of AI