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Field
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in close collaboration with with a postdoctoral researcher and a fellow PhD candidate, you will identify microbial taxa and microbial interactions that are most strongly associated with disease
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associated with the initial stages of AMD progression. FHRs accumulate in the blood vasculature underlying the outer blood/retinal barrier and are believed to interfere with the regulatory functions
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offers a fully funded 4-year FPI PhD contract associated with our newly granted project PID2025-170547NB-I00, “Gene loss impact: evolution of cardioparaxial-neuromesodermal development and genome
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 5 days ago
bioinformatics Experience with mammalian cell lines and a willingness to work with mice Ability to integrate into an international work environment as a flexible and responsible team player Excellent written and
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or genetic perturbation-as prior information, complementing or extending curated pathway knowledge. This combination allows us to move beyond purely associative integration toward structure-aware, causally
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development in an industrial and regulatory setting, including a placement at Orchard Therapeutics. A secondment with the European Leukodystrophy Association (ELA) will offer the opportunity to engage with
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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cytometry and/or fluorescence-based assays to study Toll-like receptor-mediated immune responses. The project also includes broad omics characterization of bEV-associated signatures, including 16S profiling
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-synaptic signaling. Mutations in genes encoding α2δ proteins are associated with neurodevelopmental disorders, including epilepsy, autism, and schizophrenia. This PhD project will investigate the role of α2δ
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strongly associated with disease resistance or susceptibility. A key part of your project will be to move from prediction to biological understanding. You will select promising microbes emerging from