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Engineering and Chemistry provides academic education and research at the highest international standards. Staff develop technology and scientific knowledge, thereby meeting long-term societal needs. Read more
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of the vertices in multi-dimensional space for machine learning tasks. Policy evaluation is widely used in reinforcement learning, for instance, for training large language models. Your challenge is to develop
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Systems, and educational activities from the TU/e Electrical Energy Systems group and Math & Computer Science department. If you are eager to work with a multi-disciplinary team focusing on AI-driven
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Systems, and educational activities from the TU/e Electrical Energy Systems group and Math & Computer Science department. If you are eager to work with a multi-disciplinary team focusing on AI-driven
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research and publish in high quality conferences and journals Independent thinker and self-responsibility Ability and desire to collaborate and work in teams Ability and desire to support teaching and to co
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analytics engine, with capabilities on par to the ones offered by state-of-the-art databases for static data. This is a Teaching PhD position. Throughout your PhD you will spend some time helping with
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Systems, and educational activities from the TU/e Electrical Energy Systems group and Math & Computer Science department. If you are eager to work with a multi-disciplinary team focusing on AI-driven
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for the implementation of real-time system operations and develop an appropriate system architecture for TSO and DSO. Real-time system operations uses available network capacity more efficiently than is possible in
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within walking distance of the central train station. In addition, we offer you: Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10
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processes in the remit of industrialized construction. You will develop innovative methodologies and related tools to support the automation and control of circular (modular) construction processes and the