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Field
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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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sensing, machine learning, historical map analysis, records-based research and selective archaeological surveys. Records of these sites are being made available in an open source Arches (https
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their alignment with the PhD-CES Assessment Plan, CACREP standards etc. Assess, validate, and make recommendations for student learning and for the PhD-CES program, per PhD-CES Assessment Plan, to ensure
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-facing web GIS dashboard. Investigate the forest, landscape, and climate conditions that drive storm susceptibility, using major windstorms as natural experiments and interpretable machine-/deep-learning
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for Transportation (VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot
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or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via cryospheric models. A main focus of this work is snow and glaciers in the mountains around the
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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. Students may not have any prior AI qualifications or experience. Studying machine learning and statistical learning as well as AI’s social impact, this course will provide a comprehensive foundation to help
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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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, agriculture, banking, or beyond. Students may not have any prior AI qualifications or experience before enrolling on the programme. Studying machine learning and statistical learning as well as AI’s societal