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, computational methods, and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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of disruption scenarios and the assessment of their impact on system performance. In addition, artificial intelligence techniques will be leveraged for disruption prediction, scenario analysis, and decision
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high-quality scientific research in Artificial Intelligence and Energy journals. Contribute to proposals for international public and private project calls. Supervision of undergraduate and graduate
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quantitative analyses aimed at investigating innovation and technological trends in the field of artificial intelligence through the empirical analysis of patents and their implications for European industrial
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About the opportunity: 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
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Intelligence (HAI) Medicine, Biomedical Informatics Research (BMIR) Postdoc Appointment Term: 1 year with potential to renew Appointment Start Date: June 2026 Group or Departmental Website: https
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Job related to staff position within a Research Infrastructure? No Offer Description Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs
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within a Research Infrastructure? No Offer Description Artificial Intelligence (AI), particularly with the introduction of LLMs, is transforming our society while raising significant regulatory concerns
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The project offers a unique opportunity to work at the interface of artificial intelligence and biology, combining multimodal machine learning with real-world biological data. The results will contribute to a
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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