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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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academic events. The research team operates in English, good oral and written proficiency in English is important. Since a big part of the archival data is in Swedish, ability to read and understand Swedish
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other areas, on research in computational history and work with large-scale textual, bibliographic, and cultural heritage data using AI, high-performance computing, and multimodal methods. The appointee
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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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Ability to curate and integrate large scale biomedical data Experience with workflow management and HPC environments Interest in RNA biology, alternative splicing and computational method development Strong
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12 Sep 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Agricultural sciences Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) Established
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professor or tenure track assistant professor or tenure track associate professor depending on the candidate’s merits and career stage. Information about our tenure track system: University of Helsinki tenure
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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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