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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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. 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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. 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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(UvA) is recruiting a postdoctoral researcher in AI for fluid mechanics. This postdoc is part of an NWO-funded project on accelerating computational modelling of rarefied (i.e. highly dilute gases
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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
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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