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liquid biomarkers for leukodystrophies by integrating multi-omics data from patient plasma and iPSC-derived human disease models. You will investigate disease-related molecular signatures using
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diagnosis, monitor disease progression and assess treatment response. In this PhD project, you will develop and validate liquid biomarkers for leukodystrophies by integrating multi-omics data from patient
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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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stress fields); design computational pipelines that integrate image-based anatomy, blood flow physics, and uncertainty quantification; validate the developed methods on retrospective multi-center clinical
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postdoctoral researcher and experts from multiple disciplines, you will integrate proteomics with other advanced molecular datasets to identify novel biomarkers for disease prevention. Your responsibilities
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integrating bacterial, host, and environmental determinants of colonization and transmission. Clinical research Ability to support clinical studies in international/LMIC settings Key qualities
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estimation of 3D coronary hemodynamics (velocity, pressure, and wall shear stress fields); design computational pipelines that integrate image-based anatomy, blood flow physics, and uncertainty quantification