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for Molecular Neurology are recruiting a postdoctoral researcher to establish next-generation humanized and engraftment models for studying peripheral neuroimmune mechanisms driving Parkinson’s disease. Building
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cosy, well-preserved historical center and a lively multi-cultural atmosphere. Ghent and the greater region of Flanders is internationally-oriented and tech-minded with a strong biotechnology sector with
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critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational electrophysiology to translational models
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and technicians and develop an independent research profile Access to state-of-the-art infrastructure A stimulating, diverse international world-class research environment Animal models, expertise in
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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cosy, well-preserved historical center and a lively multi-cultural atmosphere. Ghent and the greater region of Flanders is internationally-oriented and tech-minded with a strong biotechnology sector with
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to join our team. We are an international and multidisciplinary team, integrating research from genetics, epigenetics, transcriptomics, proteomics, biomarker research, and cell models. Our lab is at
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temperature signalling in plants, such as the model plant Arabidopsis thaliana and the crop plants wheat and soybean. To unravel this, we focus on dynamic changes in protein phosphorylation status, since
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intervention trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based