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strong background in NLP and practical experience with LLM development; experience in statistical modelling is an advantage. The project involves close interdisciplinary collaboration between statisticians
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mammalian cells, organoids, and animal models, and employ a range of approaches, including cell culture systems, diverse molecular techniques, and advanced imaging. The project will involve both internal and
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at the Institute of Theoretical Astrophysics at Blindern, Oslo. Job description Constraining gravity and cosmological models using the Euclid survey, supervised by Assoc. Prof. Hans Winther. The Euclid
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6th March 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Modeling Edge AI Computer Architectures Apply for this job See advertisement
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under uncertainty and decision support through combining observed data and mathematical models. The position is available from 19.08.2026 and we expect that the candidate can start the position no later
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods
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associated with more reliable structure discovery. The project adopts a unified and assumption-aware perspective on evaluation, emphasizing robustness analysis, sensitivity to modeling choices, and
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research modeling future electricity systems in Norway and Europe. The successful candidate will work on the recently funded Research Council of Norway project NORBAT (“Batteries as flexibility providers
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particular, the successful candidate will be involved in the ESA ARRAKIHS satellite mission with the main goal of understanding the impact of dark matter models and baryonic processes in faint substructures
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, hybrid models, bio-inspired approaches, multi-agent systems Experience with real-time or embedded systems, prototyping, open source development All candidates and projects will have to undergo a check