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challenges in the machine learning domain, e.g., complexity of machine learning algorithms, reliability, and trust. An important part of your work will be to develop the theoretical foundation of trustworthy
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theory doctoral student on the project, you will: Use crystal-structure prediction algorithms together with periodic Density Functional Theory to search for stable Xn (C6 O6 )m phases across a range of
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possible. One or two extended research visits are encouraged during the doctoral study. Applicants should have a strong interest in the mathematical analysis of algorithms in general and cryptography in
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out together with seven industrial partners and is externally funded by the Knowledge Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods
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investigate suitable topologies, materials, and components to achieve high efficiency and scalability up to 500 kW. Advanced control algorithms will be developed to ensure stable power flow under varying
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or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine
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or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine