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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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, 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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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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, 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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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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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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. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science, or possibly design or cognitive science as main subject) and one at Tema Technology
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accordance with a set individual study plan. The focus will be on performing research to optimize and test DBTMI by combining state-of-the-art computer simulations, physical experiments, and clinical studies
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is on analysing first-person descriptions of conscious experiences with the help of machine learning and large language models (LLMs) to identify, compare, and systematize different types of states of