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modeling. Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience handling large geospatial, atmospheric, or remote sensing datasets is preferred. Strong
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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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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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environment data for Singapore from government agencies and open sources, using GIS software (i.e. QGIS), R, and Python. Undertake 2D and 3D geospatial modelling and analysis. Apply spatial and statistical
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experience developing deep learning models using frameworks using PyTorch and possess strong Python programming skills. Experience working with Remote Sensing datasets and geospatial technologies such as GDAL
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focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data insights, and applying appropriate AI models for geospatial analysis based on the integrated data
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to those with: (a) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modelling; (b) experience in AI and geospatial computer version; (c) advanced
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insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 6 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific