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-throughput imaging or microscopy-linked phenotyping; quantitative image analysis Robust experimental QC and data/metadata handling across many samples and conditions Track C: Evo-devo / functional genetics
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approach to trainee development and mentorship within the team. Ability to design, execute, and troubleshoot experiments to a high technical standard, with strong data analysis and interpretation skills
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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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which investigates and develops a new plural valuation assessment framework combining approaches such as natural capital accounting, cost-benefit analysis, participatory mapping, and multi-criteria
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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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, 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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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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. The work provides the possibility to develop skills in microbiology, data analysis, bioinformatics and molecular dating methods in an international and multidisciplinary setting and gain a competitive
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knowledge, the goal is to elucidate bacterial genetic evolution that was shaped by human influence and make predictions to the future. The work provides the possibility to develop skills in microbiology, data