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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Transformers are central to many of today’s most successful AI models, from language understanding to computer vision. Yet, their success remains largely empirical, with limited theoretical understanding
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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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research and modelling approaches, and in close collaboration with relevant stakeholders.Achieving our vision is based on creative collaborations within the framework of a good and equal working environment
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of Industrial and Materials Science (IMS) . The Maintenance Engineering research group is a vibrant, ambitious, and multi-disciplinary team of international researchers driven by the vision to renew