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SECURING project within the KISON research group, which is part of the Research Centre on Ethical Technologies and Humanity Connectivity (UOC-TECH) at the UOC. The aim of the project is to contribute
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In recent decades the interest in green hydrogen has increased rapidly driven by climate change concerns and net-zero carbon targets. Between 2025 to 2030 there is an opportunity for hydrogen
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a strong emphasis on AI-driven security, digital twins, and real-time situational awareness. The position is part of a multidisciplinary research effort combining cyber security, maritime systems
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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safety. In particular, the candidate will investigate and further develop statistical and machine learning methods for modelling and forecasting traffic safety outcomes, and contribute to data collection
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] Y. Ren, B. Liu, B. Liu, Z. Liu, P. Jiang, Joint Inversion of Seismic and Resistivity Data Powered by Deep Learning, IEEE Transactions on Geoscience and Remote Sensing, 62, 5929614, 2024. https
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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implemented this type of skeletal tracking system into their Video Assistant Referee (VAR) process by adopting Semi-Automated Offside Detection (SAOD) technology. Whilst this is a very specific application to