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for an enthusiastic and highly motivated PhD-candidate with a strong interest in tidal wetlands and remote sensing. The position will be hosted within the group of Prof. Dr. Tom Van der Stocken, in close collaboration
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. Our team focuses on developing efficient machine learning algorithms for perception and control; with diverse applications in industry, robotics, remote sensing and agriculture. Topic Due to climate
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in tidal wetlands and remote sensing. The position will be hosted within the group of Prof. Dr. Tom Van der Stocken, in close collaboration with research groups at UAntwerpen (Prof. Dr. Stijn Temmerman
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, Wireless Communication and Sensing, Computer Science Engineering, or equivalent. Occupancy rate 100% Vacancy type Research staff Job description ABOUT GHENT UNIVERSITY Ghent University is a world of its own
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Master of Science in Communication Systems, Network Science, Wireless Communication and Sensing, Computer Science Engineering, or equivalent. Bezettingsgraad 100% Vacature type Overig academisch personeel
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machine learning team. Our team focuses on developing efficient machine learning algorithms for perception and control; with diverse applications in industry, robotics, remote sensing and agriculture. As
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distributed machine learning team. Our team focuses on developing efficient machine learning algorithms for perception and control; with diverse applications in industry, robotics, remote sensing and
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) feedback in addition to conventional audio-video communication. This opens up the gateway to a range of applications such as remote surgery, tele-repair and tele-maintenance, gaming, and education. Unlike
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of this research include intelligent & autonomous vehicles, surveillance and sensor networks, remote sensing, medical image analysis, video analysis and scene reconstruction. Ghent University (www.ugent.be/en
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sensor networks, remote sensing, medical image analysis, video analysis and scene reconstruction. Ghent University (www.ugent.be/en ) consistently ranks among the best 100 universities in the world