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Field
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
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-Scholar model by including students in research activities is strongly desired. Teaching assignments include courses in human and global geography, geospatial techniques, and specialized courses designed by
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new international Master of Science (Technology) degree programme, particularly in the fields of remote sensing and geospatial computing, while also advancing research on digital waters. The position is
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. -Analytical skills in at least one of the following areas: environmental geospatial modeling, remote sensing, and/or spatial statistics. -Ability to work independently and use sound judgment to find solutions
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bridges geology with environmental sustainability, climate resilience, water resources, or geospatial modeling of the health effects of the physical environment are especially encouraged to apply
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Summary: The Hydrologic Scientist I assists with hydrologic modeling and analysis projects related to hydrologic prediction, flood and hydrologic drought forecasting, and water resources planning and
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to sedimentological and biogeochemical investigations contribute to modelling sedimentary copper systems and Earth surface processes analyse and interpret large-scale geospatial and geochemical datasets publish high
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2nd October 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Remote Sensing and modelling of alpine vegetation change Apply for this job See advertisement UiB - Knowledge
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, sensor calibration, data acquisition, photogrammetric processing, and production of orthomosaics, digital surface models, and other geospatial products used in laboratory and field courses. Assists faculty
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data science, Earth system modeling, or a related field. Demonstrated experience applying statistical or machine learning methods to environmental or geospatial datasets. Proficiency in a scientific