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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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at the policy–academic interface. This position is ideal for an early- or mid-career researcher with experience in GIS or remote sensing who seeks to apply and expand their expertise in a fast-paced
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around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data
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security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning
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will use the TOPAZ system, the neXtSIM sea ice model, the Ensemble Kalman Filter and remote sensing data. The TOPAZ system and the neXtSIM model are two forecasting systems developed at NERSC