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8 Sep 2025 Job Information Organisation/Company University of Oslo Research Field Arts » Visual arts History Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Norway
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efficient, intelligent, and impactful. You will integrate field observations - including ground - and drone - based measurements - along with satellite data, into land - surface and boundary - layer models
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(visual anthropology), archival studies, careful interpretation of data from recent advances in art technology and re-created historical artistic practices on art works, DRESS breaks new methodological
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to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
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flexible ontologies. Applying a multidisciplinary approach that cross-fertilizes art history, Kleiderkunde (visual anthropology), archival studies, careful interpretation of data from recent advances in art
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, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field observations - including ground - and drone - based measurements