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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here
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unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within verification and model checking, embedded and cyber-physical systems, data-intensive
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cover many aspects of astrophysics, solid state physics, materials and optics. Both fundamental and applied research is carried out with a strong focus on optical physics and laser spectroscopy, surface
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Learning for Predicting Future Danish Land Use under Compound Climate Impacts, funded by the Villum Foundation (Synergy Programme). Two postdoctoral researchers will collaborate across AAU’s Departments
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links between satellites and ground user terminals, including link budget studies. Definition of requirements and configurations for user terminals and satellite antennas, as well as evaluation
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particular emphasis on automated decision-making in autonomous cyber-physical systems. The application areas cover a wide spectrum of autonomous systems, including AGVs/UGVs, UAVs, USVs, and related systems
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, preferrable in the context of Earth System sciences Experience with hydrological and/or land surface models is an advantage Strong interest in collaborativework Passionate to present the results in highlyranked
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and design. Sustainability is central to ourwork in environmentalassessment and marine management. In surveying and land use, sustainability is reflected in ourefforts in nature restoration and climate
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shared effort. You have a solid publication record and excellent oral and written English language skills. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level