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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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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