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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Computing Science or Information Science (or a closely related degree) and have knowledge of and an interest in security and privacy. You are eager to work in a multidisciplinary setting with AI experts
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Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD project description: Inkjet printing allows multiple materials to be 3D-printed
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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collegial Department (29 faculty) that nucleates a larger interactive community (nearly 100 faculty). We support an exceptional Graduate Training Program, host two training grants, a robust weekly seminar
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, spatter, size). The research will evaluate whether a single model suffices or if subclassification using multiple models is required. For this function, our Brussels Humanities, Sciences & Engineering