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                Employer- Delft University of Technology (TU Delft)
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                Field
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                Experience in processing remote-sensing information and machine learning is an asset Capacity for interdisciplinary teamwork and excellent communication and presentation skills Ability to communicate in 
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                quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply 
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                research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation 
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                , institutional analysis, and resource-use conflicts. The Departments of Human Geography, Physical Geography and Cartography, GIS and Remote Sensing are closely linked with the Centre for Biodiversity and 
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                supervisor RESEARCH AREAS Doctorate projects are performed within one of the various research groups: Physics: 1. Environmental Physics Remote Sensing Atmospheric Physics and Chemistry Oceanography Terrestrial 
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                Challenges: What are the issues with installing rooftop solar on First Nations housing (like funding, approvals, and maintenance)? How can we help communities feel ownership of these projects? Training and 
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                : Bioclimatology Forest Inventory and Remote Sensing Forest Botany and Tree Physiology Ecoinformatics, Biometrics and Forest Growth Forest Genetics and Tree Breeding Forest Policy and Forest History Forest Work 
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                extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR). For this international, exciting 
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                in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute 
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                imaging is one of the rapidly growing domains in remote sensing primarily due to the breadth of applications on a variety of areas, from plant disease detection to object tracking. For example