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Overview: As data becomes more accessible, new challenges arise around how best to use it—especially in complex, multi-system environments like aerospace. Ontologies offer a powerful solution by
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. Your work will help shape environmentally responsible AI technologies for the future! The goal of your PhD project is to develop methods to steer developments of large AI systems in such a way that they
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Rosén and Andreas Lindhe (Department of Architecture and Civil Engineering ). We have a strong network with national and international organizations within academia, public authorities and industry. About
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of expertise: society, nature, technology and culture. Faculties Faculty of Human Sciences Faculty of Humanities Faculty of Social Sciences Faculty of Architecture, Urban Planning and Landscape Planning Faculty
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:100% of the full-time weekly hours Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs
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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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. These finding define the strategy for developing a scalable quantum technology architecture. Our strategy is to establish use integrated colour centres for quantum communication tasks. Key here is to generate
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researchers, industry professionals, and fellow PhD students Taking advanced courses within the Graduate School in Shipping and Marine Technology , with a specialization in Maritime Environmental Science
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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of public spaces, their long-term management is just as important. Most of a public space’s life happens after it's built—and the quality of that life depends heavily on how it is governed. This PhD project