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Department of Animal Biosciences Technology Description of the doctoral project: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological
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application! 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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; the experiences of NAM developers and end-users with qualification procedures and the role of supporting tools, such as a Regulatory Dashboard; confidence in NAM data among different target groups and in different
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. The research environment is highly collaborative and interdisciplinary, with close links to national and international networks and consortia. The Data-Driven Life Science Research School Data-driven life
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electricity risk indices for Europe and test whether firms more exposed to electricity price risk face different market valuations and stock return dynamics. Subject areas: Econometrics, Finance, Mathematical
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resilience across different beef production systems and farm types. A key innovation of this project is the development of a multi-platform modelling framework that links environmental life-cycle modelling
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23 Apr 2026 Job Information Organisation/Company EPFL Department ENAC Research Field Engineering » Materials engineering Architecture » Design Researcher Profile First Stage Researcher (R1
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to the Wallenberg AI, Autonomous Systems and Software Program (WASP). This enables interaction with researchers from different research fields and access to various scientific and technical expertise. Data-driven
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auditable computational methods for harmonizing nationwide clinical microbiology data and linking them to longitudinal population registries. The project builds on the CRITICAL MICROBES database at Umeå
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25 Apr 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Computer science » Modelling tools Environmental science » Earth science Environmental science