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Professorship in Distributed Data and Knowledge Engineering (open rank) The University of Basel invites applications for a Professorship in Distributed Data and Knowledge Engineering to join the
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Post-doc on formal verification and algorithm discovery for numerical analysis About us and
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within a Research Infrastructure? No Offer Description The University of Basel invites applications for a Professorship in Distributed Data and Knowledge Engineering to join the Department of
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P2S2 project: developing precise parton shower algorithms and studying their consequences in jet physics. - Develop a parton shower algorithm that is precise to the next-to-single log for ee collisions
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eine technologiebezogene Fragestellung, insbesondere in den Bereichen Distributed-Ledger-Technologie (DLT), künstliche Intelligenz oder einer anderen für das Banking relevanten Technologie. - Sie wirken
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verification, e-graphs and equality saturation, Infrastructure as Code, AI-assisted code generation and software development, software testing, local-first software, distributed systems, and CRDTs. The
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optimization for heterogeneous distributed data, and hardware/software codesigned engines for demanding applications. Main duties and responsibilities Work closely with all members of the lab carrying out
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, and model adaptation strategies. Scalable AI training: distributed training, efficient fine-tuning, evaluation, and deployment on large-scale compute. Multimodal learning: representation learning and
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Correlation and Distributed Fibre Optic Sensing), as well as strong links to international collaborators and industry partners. Main duties and responsibilities As a PhD candidate, you will be
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quantitative and probabilistic extensions, and scalable verification via symbolic automata and related decision procedures Routing algebras: composable, algebraic representations of distributed