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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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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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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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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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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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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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FieldEnvironmental scienceYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work
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Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteUniversity