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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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researcher. The knowledge and skills acquired during the project provide a strong foundation for careers in academia, research institutes, and the semiconductor and high-tech industries. Are you interested in
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and support well-founded decision-making within the programme. You design and organise engaging workshops and learning experiences for students, connecting digital and technological developments to real
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and chemicals. They have won several awards for the technology, including KPMG UK Tech Innovator 2024. The PhD project will support the development of Halocycle’s PVC recycling process by carrying out a
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cultural, sports and leisure activities. A healthy mix of medium-sized businesses and global players, high-tech and trade, and innovation and tradition makes Ulm and the greater Ulm area one of Germany's
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Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic-inorganic materials for sustainable energy devices. Your work
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BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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, you will work at the intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types