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design and realization, including machine learning (ML) and artificial intelligence (AI) applications, autonomy, cognitive and distributed sensing and communication, advanced manufacturing, and decision
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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
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position of Lecturer in Digital Humanities and Artificial Intelligence. Work assignments The lecturer will teach courses related to digital humanities and artificial intelligence. They are involved in
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Geomatics / Global Change Ecology / Urban Science and Sustainability
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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent
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engineering or closed related discipline (e.g. Automation or Computer Science) A background in control theory, robotics/artificial intelligence, or related fields is required. Applicants with a strong
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Digital Citizens, and Robotics and AI which align with the EPSRC Discovery priority of ‘Digital Futures’, and the Mission-Inspired priorities of ‘engineering net zero’, and ‘artificial intelligence
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of ‘engineering net zero’, and ‘artificial intelligence’. This vision is located within RCA’s strategic research priorities of Climate Crisis and the Circular Economy, and Design & AI, as well as the priority
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(or equivalent) in Telecommunications, Computer Science, Mathematics, or similar fields. Training or experience in Data Science and Artificial Intelligence. Training or experience in Deep Learning. Proficiency in
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Paulo state, Brazil, in the area of compilers, runtimes, and High-Performance Computing, focusing on the convergence of HPC and Artificial Intelligence. The project will develop runtime optimizations and