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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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, 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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complete CV, including PhD thesis title, date of defense and link to the online version of the thesis (if exists), previous and current positions, experience in supervision and mentoring, contact information
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sex-specific natural selection effects at key life-history loci due to anthropogenic and environmental factors Use of long- term data on Teno salmon reproductive fitness to assess potential sex-specific