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include manipulating the catalyst or applying external factors. Despite this, there is a lack of understanding of the complex phenomena happening at the electrochemical interface under a magnetic field. To
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AI methods to head towards a green transition. This is particularly important for environmental initiatives to achieve the targeted 2050 climate neutral goals of the EU as well as the United Nations
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focuses on the development of secure and trustworthy AI for resource-constrained embedded systems used in power electronics and energy infrastructure. The research will investigate how machine learning
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robotic systems. The PhD project focuses on applying knowledge about real-world clinical practice in the design of interfaces between humans and robots. The project is conducted in close collaboration with
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infrastructure. The research will investigate how machine learning models can be designed and deployed efficiently on constrained hardware platforms while supporting the reliability and security requirements
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practices through interaction designs and robotic systems. The PhD project focuses on applying knowledge about real-world clinical practice in the design of interfaces between humans and robots. The project
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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based