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symposium June 10-11, 2026 (hybrid physical/digital event, see details at uit.no/project/arcticmsca/program-structure ). At this event, the candidates will present their past research achievements, discuss
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, see details at uit.no/project/arcticmsca/program-structure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and learn
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event, see details at uit.no/project/arcticmsca/program-structure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and
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at uit.no/project/arcticmsca/program-structure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and learn how to write a
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, primarily aimed at onshore structures. For offshore structures, there are aspects of relevance which are not fully understood. Thus, knowledge is lacking on how to take advantage of fibre reinforced concrete
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forecasting. Familiarity with ensemble methods, Bayesian approaches, and uncertainty estimation. Experience with large-scale or messy real-world data (structured and/or unstructured). Interest in or experience
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research visits with external collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo
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terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The researcher will be part of a growing team of researchers, postdocs and PhD students working