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, computer science or other relevant fields. Candidates with strong background in machine learning/AI and/or data science and interest in applying analytical methods to large-scale molecular and health data
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intelligence, 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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20 Feb 2026 Job Information Organisation/Company University of Jyväskylä Research Field Chemistry » Computational chemistry Chemistry » Other Computer science » Programming Computer science » Other
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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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development of artificial intelligence. The study draws on large-scale comparative data, including EU-SILC across EU member states, Finnish full-population register data (INVEST IFP), German SOEP panel data
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. Understanding these processes requires the integration of detailed site‑level observations with large‑scale data synthesis. Our project combines both approaches to reveal how short‑term climatic extremes alter
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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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artificial intelligence/geospatial AI, methods of machine learning and deep learning development of computer vision applications and image recognition methods analysis and production of big data, including
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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