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of visual materials that support and enhance the verbal presentation. Other Skills/knowledge: Use of GIS and/or remote sensing in teaching and/or research. Desirable: Professional Experience
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | 2 months ago
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description: PhD Candidate (f/m/x) in Data Science for
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agronomic field studies, crop modelling and the use of remote sensing and spectral techniques for crop monitoring. The research environment includes expertise in forage production, crop ecology, plant
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and protection of our environment through improved environmental sensing and prediction with remote sensing, AI, environmental genomics, One Health, climate modelling, biodiversity and ecosystem
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be an organisation leading the way to a sustainable digital future. The Modelling and Remote Sensing of Marine Dynamics team at the Department of Marine Systems, TalTech, is an internationally active
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interdisciplinary research in remote sensing, GIS /GeoAI, UAV applications, and resilient infrastructure planning. The candidate with experience translating cutting-edge research (e.g., AI) into operational
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service. General Requirements Candidates should have (1) a PhD/Post-doctoral experience in the field of geography, GIS, remote sensing, GeoAI, or a related discipline; (2) relevant postdoctoral and/or
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Qualifications: PhD. in Soil Science, Biological Engineering, Agriculture Engineering, Water Resources Engineering, Environmental Engineering, Remote Sensing, Ecology, Geography, or a closely related field
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t0.technology | 2 months ago
deployed for next-generation radio telescopes; and (2) experimental remote sensing, translating radio-astronomy-style correlation, calibration, and array-processing techniques to passive and active imaging
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 23 hours ago
), funded by the National Collaboration Program (NCP) of the Copernicus Climate Change Services, and HiDRATE (Integrating High resolution Data from Remote sensing And land surface models for Transpiration