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systematic approach to problem-solving. Proficiency in scientific writing and English communication Why Join Us You will be part of a dynamic international research environment, working with cutting-edge
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cross disciplines with applied research focused on studying people and nature relationships. We are located in Copenhagen. We offer creative and stimulating working conditions in dynamic and international
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from concept to operation, advancing our vision of autonomous, in-situ resource–based construction for the Moon and beyond. We invite you to join our section Digital Building Technologies
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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breakthroughs by: Developing a dynamic optimisation framework for household demand response (DR) and demand flexibility. Exploring demand response options, including innovative contract designs and dynamic
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well organized, structured, self-driven, and enjoy interacting and collaborating with colleagues, including PhD students and postdocs. You are also expected to take part in the supervision of BSc and MSc
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on understanding the key processes that govern the structure and function of pelagic food webs, as well as climate and ecosystem interactions. The research in population ecology establishes how processes affecting
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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-house facilities as well as synchrotron X-ray sources. By obtaining multi-scale (spatial resolution as well as time-resolution) information about the transformation dynamics in zinc-air electrodes and