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3rd May 2026 Languages English English English Would you like to explore AI methods for forest mapping? Two PhD scholarships: Remote sensing and AI for improved forest mapping and precision forestry
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monitoring by applying drone-based remote sensing methods. In a warming Arctic, forecasting how future changes in snow conditions will impact ecosystems, landscapes, and communities is critical. Yet, to date
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to classify biological and fire protection degradation in wooden façades on multi-story buildings by combining remote sensing-based façade inspection with microclimate modelling and performance
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. Knowledge about (RF) remote sensing. Knowledge about analog and digital RF signal processing. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the
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for the PhD work will be response estimation based on remote distributed sensing of the wave field in an offshore wind park, in combination with metocean forecasting data. Improved sea-state and wave prediction
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selection criteria You must have a relevant Master's degree in electronics, RF communications, remote sensing/radar, signal processing, aerospace or equivalent. Your course of study must correspond to a five
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have a relevant Master's degree in electronics, RF communications, remote sensing/radar, signal processing, aerospace or equivalent. Your course of study must correspond to a five-year Norwegian course
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that maintain stable operation under variability, recover quickly from disturbances, and remain reliable in remote, harsh, or unpredictable conditions. This demands optimized system sizing, robust control
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NORCE is a leading research institute in Earth observation and remote sensing, with a strong track record in developing operational SAR and InSAR systems. Our Earth Observation (EO) Group, appointed as an