28 phd-image-processing "Foundation for Research and Technology Hellas" Postdoctoral positions at UNIVERSITY OF HELSINKI
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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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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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for your next career stage. Your profile Recent PhD in Cell Biology, Neuroscience, Biochemistry or a related discipline. A strong academic track record, and at least one recent first-author publication
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techniques such as mouse models, in vivo immune cell functional assays, flow cytometry, cell biology, metabolic assays, imaging and omics-techniques (next generation sequencing). Applicants should possess a
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-of-the-art approaches in cell biology, imaging, and in-cell structural biology to reveal nanoscale membrane architectures that drive lipid flux in their native context. The group operates across two
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organelle biogenesis in metabolic health and disease. We use state-of-the-art approaches in cell biology, imaging, and in-cell structural biology to reveal nanoscale membrane architectures that drive lipid
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facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical
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and genomics as approaches to study the cambial cells in the model species Arabidopsis thaliana, and recently also in hybrid aspen and in silver birch. We are seeking postdoctoral researcher(s) and PhD
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/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical or computational modelling Ability to develop and pursue independent research questions Interest in
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across connected forest–lake ecosystems. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate