28 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "U" positions at Amsterdam UMC
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apply Website https://www.academictransfer.com/en/jobs/363179/msca-dn-phd-position-clinical-u… Requirements Specific Requirements You have a strong interest in medical imaging and quantitative
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explainable AI. A key challenge is that psychiatric research often relies on relatively small datasets, that while biomedical data are limited, and that data are subject to strict privacy requirements
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experimental data and contribute to innovative cancer research. Your responsibilities include: planning, preparing and performing molecular and cellular laboratory experiments; working with patient
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reuse of biomedical data resources. Many biomedical databases contain valuable information, but their schemas, metadata, access methods, and documentation are often heterogeneous, making integration
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experts in genetics, neuroscience and data analysis. The role also offers opportunities to visit collaborating research groups. Where to apply Website https://www.academictransfer.com/en/jobs/364794
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PhD candidate leading work package 1 , you will develop a national Minimal Data Set (MDS) for sensory processing. Rather than creating a new assessment tool, you will establish a shared framework
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study involving clinicians, translational researchers and data scientists. Working closely with a postdoctoral researcher and experts from multiple disciplines, you will integrate proteomics with other
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, with an emphasis either on iPSC-based disease modelling or on computational analysis and integration of multi-omics data. Where to apply Website https://www.academictransfer.com/en/jobs/363694/msca
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analysis techniques for dynamic brain PET data and explore artificial intelligence solutions to improve brain PET quantification. As a PhD candidate, you will contribute to the development of advanced
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, conferences, stakeholder meetings and social media activities. You will also support cross-work package analyses, contribute to scientific publications and help harmonise data collection and outcome