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Investigator, this role is part of a leading AI research group specialising in reinforcement learning and intelligent systems. The team is focused on producing world-class research while collaborating with
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-learning-per… Requirements Research FieldPhysics » OtherEducation LevelPhD or equivalent Research FieldComputer science » OtherEducation LevelPhD or equivalent Research FieldEngineering » OtherEducation
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look forward to receiving your application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
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learning from sequential data is available at the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU) in Trondheim. The project will be supervised by Prof
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24th April 2026 Languages English English English The Department of Mathematical Sciences has a vacancy for a PhD Candidate in Mathematical Foundations of Machine Learning for Sequential Data Apply
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many approaches in explainable AI and neuro-symbolic methods focus on similar issues, they are prone to learning concepts with the wrong intended meaning, especially when different concepts
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practical applications, including solving mathematical reasoning problems. The ideal candidate has a strong background in machine learning and an interest in bridging rigorous theoretical insights with
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Faculty of Engineering and Physical Sciences EPSRC Project Proposals 2026/27 (jobs.ac.uk) Project Link via the 'Apply' button above Project Title: Machine Learning Driven Corrosion Modelling in Bio
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Distributed machine learning takes advantage of communication and