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classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
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collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant science, engineering, and
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, networks and sensors that can be deployed in the world. The functionality of these technologies is already articulated to some extent, but applications relevant for people, industry and governments are less
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the integration of autonomous vessels into maritime transport and port logistics. The research will use data from vessels, sensors, environments and traffics to analyse the operational and nautical
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unprecedented pressure on urban electricity networks resulting in Grid congestion. In particular, construction sites often require high-power charging in locations where grid connections are unavailable
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ago, to the quantum sensors and computers of today, quantum mechanics governs how these microscopic objects and devices behave. In contrast, at the macroscopic scale, quantum effects are elusive
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and growing your network. In addition, you will experience an interdisciplinary collaboration to integrate advanced sensors into industry relevant bioprocesses. Job requirements As we aim to recruit a
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the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes
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your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
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, particularly artificial neural networks, and deep learning? And you would like to continue your research on clinically relevant topics? If yes, then Maastricht University has a new challenge for you! Postdoc