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engineers have to rely on steel reinforcement. This comes with a significant environmental cost, as steel production is resource- and carbon-intensive. But nature has already perfected the art of turning
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will work at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), within the Department of Microelectronics . Here, you will join an interdisciplinary research environment
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presentations and the development of new research proposals in the field of in the field of sustainable and circular steelmaking Your work environment You will be part of Team Dey within the Computational
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Your work environment You will be part of Team Dey within the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate materials for sustainable
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across pathology, body morphology, camera viewpoint, and home environments. This position aims to close that gap: you will develop and validate a novel single-camera markerless motion capture system
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are rarely validated on neurological gait patterns and struggle to generalize across pathology, body morphology, camera viewpoint, and home environments. This position aims to close that gap: you will develop
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the use of machine learning for regression tasks. Demonstrated proficiency with Python or similar scientific programming environment. Ability to work with large datasets, develop reproducible workflows and
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You will develop new theoretical methods for quantum sensing with mechanical systems, explore their use in tests of fundamental physics, and help build the research environment of a new theory group
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environment where your ideas and perspectives are valued. Our work extends beyond the lab—into field labs, innovation hubs, and partnerships with other faculties, research institutes, governments, and industry
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a diverse, collaborative, and forward-thinking environment where your ideas and perspectives are valued. Our work extends beyond the lab—into field labs, innovation hubs, and partnerships with other