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-dimensional omics (transcriptomics, proteomics), or comparable large, heterogeneous biomedical data Substantial experience in natural language processing, large language models, information extraction, or text
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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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visualization of large geospatial datasets. Translating research data and results into applications supporting sustainable water management and environmental monitoring. Publishing in peer-reviewed scientific
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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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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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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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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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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