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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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, functional perturbations, and rescue experiments. Experience in biochemical and/or histological profiling of cell- and tissue-specific phenotypes. Confocal microscopy and quantitative image analysis expertise
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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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. Job description Your responsibility is the following: to design and conduct measurements for standardizing O-15 H2O measurements for myocardial perfusion imaging in PET/CT using the Hidex radiowater
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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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organization. University of Oulu has put a great effort towards building a cutting-edge research infrastructure that includes state-of-the-art instrumentation for imaging, gene-modified mice, X-ray
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histology or imaging techniques. ⦁ Familiarity with R or other statistical tools for data analysis. The postdoctoral researcher and PhD-student positions are initially limited to 2 and 4 years
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to bridge preclinical findings with clinical applications. Through advanced computational approaches, machine learning, and AI-driven neuroinformatics, we extract meaningful patterns from omics, imaging