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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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and memory systems. This effort is truly trans-disciplinary, drawing on biodesign/biotechnology, machine learning, and interaction design. This project builds on groundwork already underway in our group
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1 Oct 2026 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Computer systems Computer science » Informatics Engineering » Computer engineering
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, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning. Ability to develop, understand, and critically evaluate
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technologies aimed at assessing, protecting, and repairing donor livers before transplantation. This PhD project is embedded within the multidisciplinary CRISPR-CRYSTAL consortium, bringing together experts in
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We offer a fully funded, four-year PhD position at the University of Twente focused on developing circular production routes for silicon and silicon carbide, key materials for high-temperature and
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. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic
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degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning
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! The PhD process is a learning experience, so let us know what you want to learn and develop as a PhD candidate. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions
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that prioritise student learning in the age of AI. Job requirements You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a