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multimodal data streams combining video, metadata derived from artificial intelligence algorithms, and information collected from surrounding objects. These data streams exhibit heterogeneous constraints in
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system perform well. This PhD project aims to answer this question. You will develop a unified mathematical theory and framework to study and explain how different reservoir systems work and how to design
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algorithms with surgical robotics. The RA will design and implement cutting-edge algorithms, and also be actively involved in the development AI tools tailored for different medical domains. These are efforts
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results with spatial modelling, the project will capture the structural and functional properties of the Baltic Sea ecosystem under different management scenarios. In addition, a data-driven algorithm will
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for the detection of exoplanets in coronagraphic images. Unlike traditional methods that rely on angular or spectral diversity to differentiate planetary and stellar light, this project is to develop Coherent
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Health is one of six departments within the Faculty of Engineering. Our education
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devices—such as wearable sensors, assistive robotics, or implantable systems—where real-time performance, energy efficiency, and reliability are critical. Unlike traditional NAS approaches that are hardware
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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create predictions for how foragers should vary in their stay-or-leave decisions for different types of decision algorithm. You will then get to test those predictions using data from humans and rodents