15 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Amsterdam UMC in Netherlands
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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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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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and immune cell subsets. Your research contributes to a large longitudinal lifestyle intervention study involving clinicians, translational researchers and data scientists. Working closely with a
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preclinical therapy development. Work collaboratively across different research environments, integrating findings from zebrafish models with data from mammalian models and other experimental systems. As part
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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