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points); b) Publications in the area of artificial intelligence, machine learning, computational simulation and multi-agent systems (maximum 5 points); c) Research experience in the project area (maximum
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simulation tools, as well as, where applicable, integration with Digital Twins, physical/robotic simulation, Artificial Intelligence techniques and Reinforcement Learning; • Analysis and interpretation
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of advanced defence and security technologies in realistic airborne environments. The platform will support research in areas such as intelligence, secure communications, electronic warfare, advanced sensing
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Engineering and Management – 10 points; other Master’s degrees – 2 points); b) Publications in Intelligent Transport Systems and Mobility – 5 points; publications in other areas – 2 points; c) Research
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Regression, Gradient Boosting, Self-Organizing Maps, etc.); Demonstrated interest in the field of Urban Analytics and Mobility, particularly in the application of artificial intelligence and machine learning
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. Building on accessible computing, artificial intelligence, and sonification, the project bridges the gap between informational and emotional access. The selected candidate will contribute to the design
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, or Business Lead. Experience with Azure DevOps, Agile, Scrum, or hybrid delivery methodologies. Experience with data governance, reporting, business intelligence, or information management. Condition
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available in the further tabs (e.g. “Application requirements”). Programme Description Artificial intelligence precisely sorts valuable raw materials, collection robots remove waste from the environment
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such as Big Data analytics, virtual healthcare, Internet of Medical Things (IoMT), cybersecurity, and artificial intelligence. Students get the chance to work on real-world projects with industry partners
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School, who applied for the course by the application closing date will be considered. Eligible applicants are required to submit a 300-word statement which addresses: Reasons for pursuing masters level