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volumes of audiovisual data is essential. The appointee must have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large
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related field, and have a keen interest in multimodality and audiovisual media. Previous experience of applying computational methods to large volumes of audiovisual data is essential. The appointee must
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collaborate effectively in large inter-disciplinary teams from different cultural backgrounds Strong ability to support Masters-level teaching in the human dimensions of natural resource management Strong
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at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks
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of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
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pages) list of publications contact information of two persons who are willing to provide a reference letter by separate request. External applicants, please submit your application using the University
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6 Feb 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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20 Jan 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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11 Dec 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
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6 Jan 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Educational sciences History Philosophy Religious sciences Researcher Profile Recognised Researcher (R2