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an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
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areas of environmental change, remote sensing, infectious disease surveillance, spatial epidemiology, machine learning and global health. Key responsibilities: - Conduct high quality research in
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14 Sep 2026 Job Information Organisation/Company University of Oslo Research Field Geosciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 13 Oct
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particular emphasis on integrating satellite LiDAR and UAV data with field observations. Applying statistical modelling, automated machine learning approaches, and artificial intelligence for the analysis and
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conferences. About You You will be educated to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have
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the essential requirements of this project. Good career opportunities. A fantastic, lively work environment with an international research group of around 20 Faculty, Postdocs and Doctoral Students. Opportunities
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/ESA_selects_Harmony_as_tenth_Earth_Explorer_mission ) The candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via
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/ESA_selects_Harmony_as_tenth_Earth_Explorer_mission ) The candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via
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or connectivity analysis; machine-learning or deep-learning methods for geospatial analyses; ecological or remote-sensing fieldwork, particularly in alpine environments; Google Earth Engine, geodatabases or cloud
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with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large