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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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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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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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, 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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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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. 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