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“TALKING EMPIRE: Prime Ministerial Rhetoric and the Search for a Usable Past in Post-Imperial Britain (1960-2025)”, funded by the Carlsberg Foundation. The position is expected to begin on 1 February 2026
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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advanced post-training techniques that align pre-trained transformer-based LLMs with cultural values and linguistic conventions. By focusing on low-resource languages, this project addresses challenges
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advanced post-training techniques that align pre-trained transformer-based LLMs with cultural values and linguistic conventions. By focusing on low-resource languages, this project addresses challenges
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of software engineering techniques to ensure interoperability of their modelling and mining ecosystem. This position will run from October 2025 (or shortly after) and it has an expected duration of 24 months. A