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, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable
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and maintenance of monitoring buoys and related sensor systems. Apply image analysis and machine learning techniques to ecological datasets. Develop and implement multi-platform monitoring frameworks
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to data from various sensors and radio signals? This is the main underlying theme to be explored within this postdoctoral position. The appointed researcher will investigate how AI embedded in physical
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photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, and bio-photonics. Technology for people DTU develops technology for people. With our international elite
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] that trap light to reduce the number of controllable components. Our long-term goal is to develop a general-purpose PIC platform, so we welcome applicants interested in sensors, optical communications, AI
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to our research on communication behaviour in group conversations. Our work employs state-of-the-art technology and laboratory facilities, including a wide range of egocentric sensor systems
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research in deep learning models for multi-sensor satellite data (e.g. SAR, SMAP) within a large international research project on AI-driven solutions for groundwater management. Expected start date and
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to ecological monitoring. The successful candidates will help further develop analysis pipelines and implement next‑generation sensors for automated monitoring of insects across Europe. The positions are part of