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collaborative skills. Applicants must be proficient in both written and oral English. Experience from one or several of the following areas is an advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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at the University of Bergen. The Department hosts the Center for Digital Narrative (CDN) , a Norwegian Centre of Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities
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the renewable energy management system by developing novel real-time control & optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio Telescope may
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in programming language theory, algorithms, distributed systems and logic Experience with language-based techniques for information-flow analysis or access control, formal methods or semantic
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Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural contexts in which digital narratives are received and
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includes 25% career enhancing work, such as teaching, curation of collections and research support. Employment is scheduled to start no earlier than February 1, 2026. More about the position / Project
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, or completed and scheduled for submission and evaluation, before the application deadline. Other qualifications Applicants must have a very good command of English (written and oral). Language skills in other
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at the Natural History Museum, University of Oslo. The four-year employment includes 25% career enhancing work, such as teaching, curation of collections and research support. Employment is scheduled to start no
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the post. For applicants who have yet to receive their PhD degree, the Doctoral dissertation must have been submitted for evaluation, or completed and scheduled for submission and evaluation, before