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new idea is to use optimal transport to achieve this. Optimal transport is a classical tool with roots in 18th century France, where it was studied in relation to engineering and geometry. Here, it will
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information at: https://www.umu.se/en/department-of-computing-science/ Is this interesting for you? Welcome with your application before 13 May, 2024 Project description Current AI technology surpasses humans
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envelopes as passive architectural solutions, DC64° focuses on building productive interfaces between the disciplines of architecture and urban planning, building technology, urban water management, plant
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Invertible Neural Generators) project, financed by WASP (Wallenberg AI, Autonomous Systems and Software Program). The project conducted in collaboration with the Royal Institute of Technology (KTH) in
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overseas, or equivalent qualifications. To fulfil the specific entry requirements to be admitted for studies at third-cycle level in computational science and engineering, the applicant is required to have
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of research, but also adept at navigating the complex intersections of architecture, urbanism, landscape, and technology from both a theoretical and practice within diverse cultural, social, and political
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from static and/or dynamic approaches to detecting software vulnerabilities in the code to preventing vulnerability execution at runtime. The PhD student will work in the Software Engineering and
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, landscape, and technology from both a theoretical and practice within diverse cultural, social, and political contexts. Through collaboration with their peers, PhD students can nurture and advance
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of architecture, urbanism, landscape, and technology from both a theoretical and practice within diverse cultural, social, and political contexts. Through collaboration with their peers, PhD students can nurture
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with other research groups in Europe, such as the University of Padova and the Italian Institute of Technology (Italy), the Materials Physics Center and CIC nanoGUNE (Spain). Competence requirements