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complex socioeconomic, environmental, and molecular data in the context of multigenerational families. · (Co-)developing predictive models based on very large registry, medical, social/environmental
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of RNA therapeutics for the brain. The successful candidate will work at the interface of molecular biology, cell models of the blood–brain barrier, and advanced human in vitro systems such as induced
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fundamental mechanisms regulating heart development and disease, with particular emphasis on how heart rhythm is established at the cellular and molecular levels. We use state-of-the-art model systems including
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. You will develop numerical models for nanoscale heat dissipation to interpret the experimental data. The project will be supervised by Prof. Zijlstra (Molecular Plasmonics group) and co-supervised by
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data in the context of multigenerational families. · (Co-)developing predictive models based on very large registry, medical, social/environmental, and molecular data, aimed at predicting health
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of functional glycans in situ and development of advanced infection model systems to study the role of functional receptors. These models will include (genetically engineered) stem cell-derived 2D and 3D
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adequately to available treatments. There is a pressing need for novel disease modifying treatments. At present anti-rheumatic drug development still relies on simplified in vitro model systems and on animal
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-subject clinical and pathological information with morphological and molecular knowledge of induced pluripotent stem cells (iPSC) of PD(D)/DLB patients to identify molecular profiles and drug targets. We
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involves analyzing postmortem human brain tissue from individuals with acquired or genetic obesity to identify molecular signatures linked to obesity and weight loss. Promising microglial and neuronal
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cartilage-on-chip model specifically designed for precision medicine in osteoarthritis (OA), the most common degenerative joint disease affecting more than 1.5 million Dutch citizens. To study OA patient