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Job assignment: The doctoral candidate program amounts to 240 credits (equivalent to four years of full-time study). It formally ends with the doctoral candidate publicly defending his/her printed
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other experts within the Support for Computational Resources unit at NBIS and related organisations, notably SciLifeLab, National Academic Infrastructure for Supercomputing in Sweden (NAISS), and EuroHPC
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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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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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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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National Program for Data Driven Life Science (DDLS). About the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems
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to complete the programme. Additional requirements: Very good oral and written proficiency in English. Very good knowledge in materials science or chemistry relevant for the position, for example chemistry of