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combining large-scale ecological datasets, species trait data, ecological network analyses, and quantitative modelling. The postdoctoral researcher will also coordinate and lead field resurveys of historical
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of the energy system, security of supply, and the distribution of costs and benefits among market participants. Theme B: Power system flexibility in data centres Research on this theme addresses large data
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activities. As a major centre of education with a large student population, it also features a vibrant cultural scene. For more information about the University of Jyväskylä, the city of Jyväskylä, and living
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of the post-doctoral researcher will include • Cleaning and management of health, healthcare and sociodemographic data from multiple nationwide registers • Advanced statistical modelling in large and
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scenarios and employ behavioural experiments and Big Data analytics to understand how changes in time perception influence pro-environmental and sustainable behaviours. NATURETIME aims to generate actionable
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perception at the landscape scale under different scenarios and employ behavioural experiments and Big Data analytics to understand how changes in time perception influence pro-environmental and sustainable
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, implement and benchmark machine learning models for large-scale health datasets consisting of diverse information including structured medical history, demographics, clinical notes, laboratory measurements
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting
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21 Jul 2026 Job Information Organisation/Company University of Oulu Research Field Astronomy » Other Physics » Computational physics Researcher Profile Recognised Researcher (R2) Application
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22 Aug 2026 Job Information Organisation/Company University of Oulu Research Field Environmental science » Earth science Environmental science » Ecology Environmental science » Other Technology