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, develop connectivity analysis techniques for dynamic brain PET data and explore artificial intelligence solutions to improve brain PET quantification. As a PhD candidate, you will contribute
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this project, you will develop innovative image analysis methods to improve image quality and enable advanced quantitative analyses of ^89Zr-immunoPET data, including radiomics and artificial intelligence
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MRI, high-resolution confocal microscopy and electron microscopy. Develop and refine imaging analysis pipelines, using appropriate software, quantitative approaches and innovative analytical methods
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models that combine anatomical and hemodynamic information derived from routine clinical imaging. By providing quantitative insights into coronary anatomy, blood flow, pressure, and wall shear stress
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two complementary backgrounds. You may have experience in iPSC-based disease modelling, stem-cell or cell biology and an interest in developing your data-analysis skills, or a background in
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background and interests, with an emphasis either on iPSC-based disease modelling or on computational analysis and integration of multi-omics data.
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16 Aug 2026 Job Information Organisation/Company Amsterdam UMC Research Field Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Aug 2026
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4 Sep 2026 Job Information Organisation/Company Amsterdam UMC Research Field Medical sciences » Medicine Psychological sciences » Psychology Researcher Profile First Stage Researcher (R1