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Scholarship (BIPD) to holders of a PhD degree obtained in less than 3 years within the scope of the project 3D-FIRST-“Enhanced Forest Inventory Metrics through Advanced Remote Sensing Technologies”, taking
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. Knowledge about (RF) remote sensing. Knowledge about analog and digital RF signal processing. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the
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will investigate how visual and radiological sensing and characterization can be combined into a unified digital representation, exploring how nuclear detectors, via gamma cameras and regular nuclear
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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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seagrass data Knowledge of GIS, remote sensing or ecological modelling Experience in linking scientific research with environmental policies Scuba diving certification at the rescue diver level Ability
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desirable) Interest or experience in Earth system modelling, remote sensing, and/or machine learning Ability to work independently and collaboratively in an interdisciplinary environment High proficiency in
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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic
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remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies, intelligent transport systems, smart city, utility system management, location-based services, geographical social
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spread of corrosion. Thus, long-term 3D mapping and change detection is of great interest for remote maintenance. Previous research at the Oxford Robotics Institute has developed a real-time 3D LIDAR