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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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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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UiO/Anders Lien 13th October 2026 Languages English English English PhD Research Fellow in remote sensing of the cryosphere Apply for this job See advertisement About the position We invite
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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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try again. UiO/Anders Lien 13th October 2026 Languages English English English PhD Research Fellow in remote sensing of the cryosphere Apply for this job See advertisement About the position We invite
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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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with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large
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Alzheimer's Disease Research Foundation dba Cure Alzheimer's Fund | Wellesley Hills, Massachusetts | United States | 3 months ago
Mentorship: Provide guidance and informal mentorship across teams, sharing best practices for research management, reviewer selection, and relationship building. Qualifications: PhD in a specialty relevant to