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develop innovative remote sensing capabilities to monitor oceans, ice, vegetation, and natural disasters. Be part of a dynamic, international team shaping the future of environmental monitoring! About us At
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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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position to carry out research with the Signal Processing group in the area of next generation space-terrestrial wireless communications and sensing. We are looking for you who are ambitious and creative
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impact of AI systems but also democratizes access to AI technologies, allowing for widespread implementation in various applications, from smart cities to remote sensing, all while maintaining a focus on
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littoral zones are spatially complex and difficult to study. Within the RELITORATE project, funded by the Knut and Alice Wallenberg Foundation, a team of experts in flux measurement, remote sensing, and
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. biostatisticians, to enhance our ability to study pain from a translational perspective. The research group (12 PhD students, postdoctoral fellows and staff members) collaborate with preclinical as well as clinical
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Reconnaissance (AUSAR) An Autonomous Underwater Vehicle (AUV) is often used as an alternative to human divers or remotely controlled vehicles when there is a need to gather information under water. Examples of
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sampling, remote sensing, and statistical analyses, we study how restoring ecosystems can potentially reduce disease risks for both animals and humans. This includes developing innovative methods to make
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restoration, especially related to forest management, biodiversity, and disease prevention. Through field sampling, remote sensing, and statistical analyses, we study how restoring ecosystems can potentially
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applications that combine communication, localization, and remote sensing. We are looking for a motivated and innovative PhD student to join our research team to develop groundbreaking solutions that integrate