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. Great emphasis will be placed on personal qualities. You have a good ability to work independently as well as in groups. Application Your application should contain a personal letter that states which
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to the Master's Programme at the Umeå School of Architecture, including guidance and responding to questions related to the programme and the application process. Other tasks and duties may be assigned
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research programme. Letter of application including a personal resume and motivation for application (maximum one page). Verified CV including relevant academic degrees, previous work experience and
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. The SciLifeLab and Wallenberg 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
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educational programs in Computer Science, is now seeking a PhD student with a focus on symbolic AI. The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an
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to teach a wide spectrum of entry level courses in English in, among others, programming, algorithmic problem solving, data structures, programming languages, and the analysis of algorithms. The applicant
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other researchers at the department. The research work includes both participation in specific research projects and working with funding applications. The funding scheme for the research work conducted
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the Wallenberg AI, Autonomous Systems and Software Program (WASP). Application deadline is 10 August 2025. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research
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multidisciplinary theme. The program prepares next-generation computational biologists with strong complexity thinking and tools applicable to living systems across organizational scales, addressing major
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 1st September, or as