355 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Sweden
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credits in subjects of relevance to Electrical Engineering, or a MSc in Engineering in Biomedical Engineering, Computer Science, Electrical Engineering, Engineering Mathematics, Nanoengineering, Engineering
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of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. The student contributes to this project to explore fundamental and applied questions in
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing
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Description of the workplace The position is located at the Division of Industrial Electrical Engineering and Automation ,IEA , LTH, Lund University. Our mission is to conduct research and provide
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning
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strengthen your application: Knowledge of quantum computing concepts, quantum algorithms, or quantum-inspired methods What you will do Collaborate across disciplines (e.g., quantum computing, computer science
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programme, applicants must have: A Master’s degree (or equivalent); Completed at least 240 ECTS credits, including at least 60 ECTS credits at the Master's level; At least 90 ECTS credits in Economics; At
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an international environment, surrounded by colleagues, with great opportunities to influence and develop. The Department of Computer Science and Informatics offers academic programmes in subjects ranging from
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part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create globally
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18 Jan 2026 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Computer science Researcher Profile First Stage