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to learn new skills, exchange knowledge and collaborate where possible. be willing to teach and guide students. TU Delft (Delft University of Technology) Delft University of Technology is built on strong
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instrumentation, MEMS technology, signal detection, and computational imaging. We foster a welcoming, collaborative, and supportive environment where knowledge exchange and teamwork are strongly encouraged
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motion and apply opto-electrical control to reach the motional ground state. Develop and implement new control schemes to generate non-classical motional states, boosting sensitivity to detect forces
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processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We
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requirements A Master’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, or related fields. Strong knowledge of machine learning, language models, and security aspects of AI
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properties on the structures underlying quantum computations. A main component of the project will be using the ZX-calculus, a graphical language for reasoning more intuitively about quantum processes. As PhD
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foundation models, and the complex operational challenges faced by traffic operators, municipalities, and mobility service providers. This includes the integration of symbolic reasoning, predictive analytics
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: More and more organizations are diversifying their employee base to stimulate innovation. Diverse groups have members with different, unique knowledge, and by combining and integrating these different
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-analytical workflows, turning geodata into new answer maps. We use knowledge graphs to model these transformations and apply AI methods to scale them across large map repositories, enabling users to explore
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fosters innovation through open collaboration and knowledge exchange. With strong mentorship, tailored training, and minimal hierarchical barriers, ELCA provides an ideal setting for academic and