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We are looking for a PhD student to participate in the development of new remote sensing capabilities for future 6G communication systems. These communication systems will integrate terrestrial and non
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of forests under climate change. The PhD student will work in the Forest Remote Sensing group at the Department of Forest Resource Management at SLU, collaborating closely with other engineers and scientists
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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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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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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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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
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a focus on CH4, and an emphasis on the groundwater-surface water connectivity. We will combine novel sensors, remote sensing products, microbial studies and large-scale isotopic analysis to unravel