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’ awareness of emerging threats; Produce high-quality co-authored outputs for both academic and non-academic audiences, with a focus on international, peer-reviewed journals. Work within a multidisciplinary
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that enable material traceability and circularity in plastics. The role focuses on developing and curating Deep-UV spectral databases, designing AI-based classification models, and further advancing
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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn
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of (cyber) crime Collect and analyse data on the above topics Produce high-quality co-authored outputs for both academic and non-academic audiences, with a focus on international, peer-reviewed journals. Work
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) historical research, research focused on the relevance or functioning of tradition in relation to church and faith, or research related to current societal, academic issues or themes. With your application, we
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. The position is embedded in the policy and governance work package and focuses on policy analysis, political economy, and governance dynamics of the protein transition, with empirical research conducted
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.) and/or apply it to modern machine learning models like large language models or diffusion models, etc. You are expected to: take an active role in the research project either in the development
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of manuscripts, the poetics of prayer, the function of images, and changes and continuities in relation to religious movements and the advent of print. PRAYER aims to yield an integrative understanding of the role
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outputs for both academic and non-academic audiences, with a focus on international, peer-reviewed journals. Work within a multidisciplinary team across the Governance of Crisis research group and other
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of the future, including: the use of faster processors being pushed by CubeSat technology; new requirements for cybers ecurity driven by actual threats; ever-higher data streams and volumes downlinked from