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for hydrogen carrier synthesis. Our vision is to establish an adaptive multiscale platform where catalyst performance is computed from first principles. Contract terms and what we offer The PhD-positions
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is essential for a sustainable society. In this project, you will develop and apply advanced computational techniques to explore nano-catalysts for hydrogen carrier synthesis. Our vision is to
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collaboration between two departments in different faculties: The Department of Computing Science (Faculty of Science and Technology), where the PhD student will be part of the AI Policy Lab, an interdisciplinary
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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer
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, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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Chemistry (experimental/computational physical chemistry) -Transition metal photocatalysts studied by femtosecond X-ray science with a focus on hybrid experimental/machine-learned structural dynamic analyses
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, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems. Project description This PhD project is linked
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research in the areas of condensed matter physics, nanotechnology, photonics, and theoretical and computational physics. We announce a PhD position for a project focusing on simulation and artificial
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research in the areas of condensed matter physics, nanotechnology, photonics, and theoretical and computational physics. We announce a PhD position for a project focusing on simulation and artificial
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. The vision is that mobile communication services will be seamlessly available to anyone with a 6G device, anywhere and at any time. We are looking for a motivated and innovative PhD student to join our