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, using qualitative research, consensus methods and quantitative validation in an international cohort. Risk and resilience: identifying factors associated with parental distress, coping and resilience
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this project, you will develop new image analysis methodologies for less invasive and non-invasive quantitative brain PET studies using LAFOV PET/CT. You will work on model-independent kinetic analysis methods
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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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-center clinical datasets and contribute to translating advanced computational methods into clinically relevant applications. This PhD position offers a unique opportunity to work at the intersection
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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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developing and validating a tool for patients and families across the lifespan, using qualitative research, consensus methods and quantitative validation in an international cohort. Risk and resilience
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partners in the Netherlands and abroad. You will work with large, multi-center clinical datasets and contribute to translating advanced computational methods into clinically relevant applications. This PhD
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questions. The candidate should be organized, curious, analytically rigorous and comfortable learning unfamiliar methods. Good written and spoken English is essential. Research motivation: a clear interest in