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the Department of Materials Science and Engineering within the Faculty of Engineering. Project title: Machine Learning for In Situ Materials Characterisation. We are seeking an outstanding PhD candidate to develop
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. Company engagement is an integral part of the programme with built-in internships alongside entrepreneurship training. The PhD programme in Machine Learning Systems positions students for strong, ethically
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Application deadline: All year round This 3.5 year PhD is funded by the Department of Mechanical and Aerospace Engineering and is available to UK-based students. The successful candidate will
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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning or a closely related
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23 Sep 2026 Job Information Organisation/Company KU LEUVEN Department faculty of engineering science Research Field Computer science » Computer systems Computer science » Database management
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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Medical physics Data science Related health, science or engineering disciplines Experience with imaging analysis, signal processing, programming, machine learning, or quantitative research methods would be
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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at Saxion University of Applied Sciences, you will contribute to the development of machine-learning models that connect powder characteristics and process parameters with the properties of the final
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advanced machine learning feature detection to enable evolving subsea scenes to be robustly aligned across repeat surveys. You will develop probabilistic models to detect subtle changes under noise and