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in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data
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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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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 in Finland, see the University's
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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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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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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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, 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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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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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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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