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biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life
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level with relevance for the focal area. is judged to have the potential to complete the programme. Additional requirements: Very good oral and written proficiency in Swedish. Very good oral and written
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the Bachelor's Programme in Criminology and the Master's Programme in Cultural Criminology. Teaching is primarily conducted in Swedish, but may also occur in English. Eligibility According to Lund University's
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and Wallenberg National Program for Data-Driven Life Science (DDLS) (https://www.scilifelab.se/data-driven/ ) aims to recruit and train the next generation of data-driven life scientists and to create
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and first cycle studies specialising in environmental science are carried out at the department. First cycle studies include a bachelor's and a master's programme, as well as stand-alone courses and
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the Department of Computer Science and Informatics. The department offers education at undergraduate, advanced, and research levels. Teaching is conducted through bachelor’s, master’s, and engineering programmes
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structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data
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the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and
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health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next-generation of data-driven life scientists and to create
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at the AMBER programme you will get unprecedented medical, biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When