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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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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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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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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 AI. Meanwhile we
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can bridge experimental and computation workflows, and accelerate sensor integration. The position will include lab and computational work. In the lab, you will be responsible for the integration of a
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Marine Biodiversity, you will develop and validate a multimodal bioimaging workflow that connects sensor measurements with their biological meaning. The model will combine RGB images, hyperspectral imaging
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of Earth Observation Programmes at ESA’s Earth observation centre: ESRIN. The Division is responsible for the management of ESA’s Earth observation missions, the development of the ground processors, sensor
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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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part of the Innovative Health Initiative (IHI) project AF-B-STEP (Quantifying Atrial Fibrillation Burden to inform Screening, Treatment, and hEalth Policy, https://afbstep.eu/) , we aim to establish