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                Employer- University of Groningen
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- Amsterdam UMC; 27 Sep ’25 published
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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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                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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                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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                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 
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                Vacancies Postdoctoral position: A CARtilage on CHIP model for precision medicine in osteoarthritis (CARCHIP) Key takeaways CARCHIP will combine the expertise of the University of Twente (UTwente 
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                their involvement in disease resistance under controlled conditions. Our model system is the bacterial pathogen Xanthomonas campestris pv. campestris (Xcc), which causes black rot disease in cabbage 
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                dilemma that hampers drug development, here, we implemented a translational approach that integrates within-subject clinical and pathological information with morphological and molecular knowledge 
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                spectrometry, cross-linking mass spectrometry, top-down proteomics and computational modeling. Your work will advance mass spectrometry technology, providing new possibilities to study the structure and function