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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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, 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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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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. 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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the Neuroscience Center in the University of Helsinki (see: https://www2.helsinki.fi/en/researchgroups/synaptic-plasticity-and-development ).The research interests are focused on functional maturation of neuronal
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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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analysis, bioinformatics and molecular dating methods in an international and multidisciplinary setting and gain a competitive academic CV. The Postdoctoral Researcher is expected to: Advance the research
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with the above described aims: contribution to the MoreChild project conceptually, methodologically and empirically. Management and analysis of existing research data, optionally producing own empirical
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reconstitution, and single-particle cryo-EM analysis of membrane protein complexes, as well as structural–functional assays in human cells. The exact project will be developed together with the selected researcher