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Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7545 Job description We are seeking an enthusiastic PhD candidate to develop novel ideas to establish trust in deep learning
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of Architectural Design and Engineering (ADE). The Department offers a comprehensive, research-oriented educational program (BSc / MSc) within the broad field of the Built Environment. Graduates go on to work in
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that are inclusive and accessible to users with dynamic and unique needs; Develop tangible design artifacts for the specific use cases and evaluate the impact in real-life scenarios; Facilitate transdisciplinary
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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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Smart Sustainable Systems. These themes are reflected in the department's nine teaching chairs. Read more Bachelor programs Master programs Admission and enrollment Working at TU/e Staff Route & map
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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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education and research on three Strategic Areas: Energy, Health, and Smart Mobility. An ambitious university requires dedicated support to our scientists within the fields of Research Data Management (RDM
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a technician to work full-time (1.0 fte) in the laboratories of the Dynamical Systems Design division. In these laboratories experiments are conducted for education and research in the fields
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for many countries in the last years. Hydrogen is expected to play a crucial role in achieving this target. The PhD will focus on the domestic and global green hydrogen supply chains and develop optimization