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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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& computational analysis (choose a combination) Single-cell RNA-seq analysis (e.g., Seurat/Scanpy, QC, integration/batch correction, clustering, annotation) Multimodal integration and/or feature engineering
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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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collaborations linked to the TRACE project The exact balance between analysis, fieldwork, and supervision can be adapted to the postdoctoral researcher’s expertise and interests. Requirements Applicants should
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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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and in the analysis of real-world datasets Experience in interdisciplinarity and good collaboration skills Ability to develop and pursue independent research questions Fluent English skills APPLICATION
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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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with optogenetic and chemogenetic tools, local genetic manipulation, histological analysis and behavioural tests. We provide an international, inspiring and supportive research environment with excellent