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February 2026. Description of the role DGL is an interdisciplinary research group at the University of Helsinki, focused on spatial big data analytics on a human scale to support the planning of fair and
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DOCTORAL RESEARCHER POSITIONS IN ECOLOGICAL STATISTICS We seek doctoral researchers to develop methods for analyzing large-scale biodiversity- and ecosystem function data. Our approach is based
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intelligence methods, including practical programming skills. Publications in top-tier journals such as Big Data & Society, Science, Technology & Human Values, Information, Communication & Society, or in general
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, have strong conceptual skills and capability to learn to use advanced stastistical ecology tools. Prior experience in working with large ecological data, R programming skills, and studies in statistics
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. Prior experience in working with large ecological data, R programming skills, and studies in statistics are considered as a strength. We seek candidates with interest in understanding drivers of natural
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competence in developing and applying artificial intelligence methods, including practical programming skills. Publications in top-tier journals such as Big Data & Society, Science, Technology & Human Values
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to make a meaningful impact in healthcare? Would you like to work in a multidisciplinary team of world-class experts to decipher large real-world health data? Join our team at FinnGen, one of the leading
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. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent
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information can be obtained from the manager of Lammi Biological Station Janne Sundell, janne.sundell@helsinki.fi , +358504151723, or from director Jouni Heiskanen, jouni.heiskanen@helsinki.fi , +358504381808
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30 Aug 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Architecture History Computer science Researcher Profile Leading Researcher (R4) Country Finland Application