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; contribute to member-facing forecasting reports, white papers, and policy briefs. Publish in BEG Reports of Investigation; peer reviewed, international, journals; and informal outlets. Develop and maintain
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are seeking a highly motivated and skilled Postdoctoral Research Fellow to join our multidisciplinary research team on the project "Crop Growth Monitoring and Yield Forecasting". This project aims
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, internationally connected research programme spanning Bayesian infectious disease modelling, AI-driven epidemic forecasting, genomic epidemiology, and pandemic preparedness. The postholder will work with Asst. Prof
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in climate sciences, environmental sciences and oceanography or related field Familiarity with extreme event forecasting and projection Good written and oral communication skills Proficiency in Python
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is required Desired qualifications: Experience with data assimilation, probabilistic machine learning, Bayesian inference, inverse modeling, and/or simulation-based inference is an advantage
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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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Project 7: Probabilistic Representation Learning Employment: UiT - The Arctic University of Norway, Department of Physics and Technology PhD programme: UiT - The Arctic University of Norway, Faculty of
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Starting date: preferably in 2026, by agreement Project 7: Probabilistic Representation Learning Employment: UiT - The Arctic University of Norway, Department of Physics and Technology PhD programme: UiT
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, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models. Relevant experience directly in the project’s area – 5
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: Market segmentation frameworks. Consumer profiling models. Pricing and positioning strategies. Adoption acceleration mechanisms. Demand forecasting models. Evidence-based marketing recommendations