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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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. Qualifications The candidate must have: At least masters level education in a relevant field for the application (e.g. structural biology, bioinformatics, biochemistry, molecular biology, molecular genetics
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consequences of higher host specialisation in the tropics – the role of ecological and evolutionary processes, and of data bias), and the successful applicant will work in the Evonets lab (evonetslab.github.io
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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 Science (DDLS
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-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human
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to study 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
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, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. The Department of Bioinformatics and
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. Requirements: PhD in Ecology, Evolution, Bioinformatics or related areas Previous research experience in phylogenetic comparative methods Excellent skills in R programming Excellent writing and communication
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science, computer science, bioinformatics, or a related subject relevant to the position or documented experience that can be deemed equivalent. Experience of development in Linux-based environments