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to the development of state-of-the-art nuclear-reaction models and evaluated nuclear-data libraries, supporting safe, reliable, and competitive technologies for both existing and future nuclear-energy systems, as
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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 and
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and statistical methods as part of a close collaboration between Uppsala University, Westinghouse, and Vattenfall? Would you like to contribute to the development of fast, robust and reliable
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, and policy. However, we still cannot reliably predict how climate change will affect animal populations across their full life cycle. Accumulating evidence suggests that early life stages can be more
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conservation, management, and policy. However, we still cannot reliably predict how climate change will affect animal populations across their full life cycle. Accumulating evidence suggests that early life
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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