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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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for studying the effects of climate and land use change on animals, plants and soils. We seek solutions that contribute to a sustainable society through research on greenhouse gas balance, biodiversity
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, from molecular 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
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development in plant genetics and plant breeding. You enjoy working both independently and in a team, and have a good ability to structure your work. Place of work: Alnarp Forms for funding or employment
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. The planned dissertation work focuses on how employees within the municipal company Vakin work with data management, and how organizational structures affect the possibility of creating a data-driven culture
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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omics has made great leaps in terms of multiplexing capabilities and power to decipher spatial patterns of molecules and cells. They provide insight into cell development, micro-environment interactions
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. Position description Construction industry is one of the biggest contributors to waste and carbon emission and this sector is at a crossroads. Unless major changes, the industry risks failing to meet the
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activities are focused on the modelling of the mechanics of structures, components, and processes along with involved materials, thereby providing mechanics-based solutions and virtual solution tools to our
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deepest branches of the tree of life with the help of bioinformatics and experimental molecular techniques. Research about how chemicals of anthropogenic origin interact with cellular functions and cause