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Ref no: ORU 2.1.1-03882/2025 We are currently inviting applications to the doctoral programme in Economics, which leads to a doctoral degree and includes participation in the national WASP-HS
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science more generally with managing data, software, tools, and support on nationally and internationally available computational resources, including the new AI Factories and EuroHPC resources, at NAISS
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vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering
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approximately 60 employees and is responsible for two Master of Science (MSc) programs, two Bachelor of Science (BSc) programs, and one Bachelor of Science (BSc) program. We also have courses in teacher education
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National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally
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Karolinska Institute. About us The Department of Computer Science and Engineering (CSE) is a joint department between Chalmers and the University of Gothenburg and is internationally recognized for its
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a
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both Sociology and Library and Information Science. The department also contributes to several interdisciplinary programmes in collaboration with other departments at the university. It is also home to
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Department of computing science The Department of Computer Science has experienced significant growth in recent