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Field
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develop innovative remote sensing capabilities to monitor oceans, ice, vegetation, and natural disasters. Be part of a dynamic, international team shaping the future of environmental monitoring! About us At
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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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England and Wales, with a long history of monitoring both water table depth and vegetation change. Working with Natural England, this project will develop new methods using remote sensing data for advancing
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robotic systems for use in the fusion industry. It is jointly funded by the University of Exeter and RACE (Remote Applications in Challenging Environments, https://race.ukaea.uk/ ), part of the UK Atomic
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100%, Zurich, fixed-term A doctoral student is sought from summer/autumn 2025 for a research project at the Institute of Environmental Engineering (IFU), Chair Earth Observation at the ETH Zürich on Snow and ice parameter estimation using high frequency multi-modal SAR. Job description The...
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you will particularly gain an understanding of the impact of extreme wet conditions and waterlogging on agricultural productivity. The aim is to combine satellite remote sensing with field surveys
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Infrastructure? No Offer Description PhD Student Position in UAV-Based Synthetic Aperture Radar Remote Sensing The SAR Remote Sensing Technology Group at the Chair of Earth Observation and Remote Sensing, Dept
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Opportunity to take on the challenge to develop advanced remote sensing techniques and/or modelling techniques to measure the magnetic field of coronal mass ejections as they travel from the Sun
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position (26 hours per week) starting from 01.06.2025 limited to 48 months at our location in Müncheberg as PhD Position in remote sensing for Soil organic carbon and tillage assessment (f/m/d). Your tasks
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biomass remote sensing, crop modeling, data assimilation and machine learning Supervise master thesis students For PhD students: follow training in line with the doctoral school requirements Where to apply