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. Work will here be primarily based on data-driven model developments, but will also be closely tied to validation work performed with clinical and experimental colleagues and group members. As part of
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long-lasting adverse health effects in humans and wildlife is also performed. For more information see www.iob.uu.se Data-driven life science (DDLS) uses data, computational methods and artificial
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economic policy, social accounting, environmental policy, local public economics, public procurement, collusion, and the functioning of pharmaceutical markets. From a methodological perspective, the
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these systems operate in, ACPS increasingly rely on data-driven learning-enabled components to perform a variety of challenging decision-making tasks. While indispensable for autonomy, learning-enabled components