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Systems Modeler & Remote Sensing Specialist) Job Class Code HA02 A/B/C, HA03 A/B/C Appointment Status Full-time Part-time FTE Limited Term Yes Limited Term Length 1 year; continuation contingent upon
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develop innovative approaches for crop yield prediction, disease detection, and protein estimation, integrating remote sensing and modelling to translate research into practical tools for sustainable and
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in field ecology and remote sensing while contributing to work that informs real-world policy and operational outcomes. Funded by the Queensland Government’s Department of the Environment, Tourism
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Agricultural Research Service in the Food Systems Research Unit in Burlington, VT, focuses on characterizing long-term phenology of perennial pasturelands of the Northeastern US, using remote sensing tools, and
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partnership delivering research with direct environmental impact. This role offers the opportunity to build your expertise and research profile in field ecology and remote sensing while contributing
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19 Jan 2026 Job Information Organisation/Company CNRS Department Centre d'études spatiales de la biosphère Research Field Environmental science Biological sciences Geosciences Researcher Profile Recognised Researcher (R2) Application Deadline 9 Feb 2026 - 23:59 (UTC) Country France Type of...
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extracting useful knowledge from remote sensing data. About the Role To carry out research involving the integration of drone-based imaging, multispectral data analysis, phenotyping techniques, and the
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researcher with experience in GIS or remote sensing who seeks to apply and expand their expertise in a fast-paced, interdisciplinary research environment. The successful candidate will work with leading
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remote sensing (Dr Alex Fraser, University of Tasmania, Australia). The project addresses a key limitation in current satellite monitoring: while sea-ice extent can be tracked, distinguishing between ice
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using the latest advances in climate science, hydrological modelling and satellite remote sensing. In collaboration with partners in Zambia, we aim to develop a new generation of environmental risk