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, Lindén A, Pietiäinen H, Pöyry J, Sihvonen P, Suuronen A, Vuorio K, Saastamoinen M, Vanhatalo J & Laine A-L (2025) Cross-taxa analysis of long-term data reveals a positive biodiversity-stability
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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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ecology predictions and empirical data on the evolution of sex-specific differences in immunity and life history traits. As we intend to conduct interviews also during the application period, we appreciate
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strong background in community ecology, functional traits, and/or biodiversity research Solid experience with statistical data analysis and reproducible research workflows Proficiency in R for ecological
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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dependent behaviors. The selected candidate will perform in vitro (patch clamp) and in vivo electrophysiological recordings, AAV viral infections and advanced data analysis. He/she is also expected
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interconnected sites: the University of Helsinki and Karolinska Institutet in Stockholm. For more information, please visit our website . This project will focus on structural and biochemical approaches
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11 Dec 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country