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- Amsterdam UMC
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- Amsterdam UMC; 27 Sep ’25 published
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- Delft University of Technology (TU Delft); yesterday published
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- University of Amsterdam (UvA); 26 Sep ’25 published
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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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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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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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Postdoc in Extracellular Vesicles as Mediators of Gut-Microbiome Interactions in Parkinson's Disease
to ileostomy samples, Parkinson’s disease cohorts, and novel hydrogel/motility models. This approach allows us to reveal microbial processes that are difficult to capture with standard models, connecting patient
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are encouraged to apply. Where to apply Website https://www.academictransfer.com/en/jobs/354423/postdoc-project-in-vitro-models… Requirements Specific Requirements Qualifications: PhD degree in neuroscience
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Postdoc in Extracellular Vesicles as Mediators of Gut-Microbiome Interactions in Parkinson's Disease
microbiome function in health and disease. We focus on the small intestine (ileum) and colon, using access to ileostomy samples, Parkinson’s disease cohorts, and novel hydrogel/motility models. This approach
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining multiple advantageous traits. Contribute to groundbreaking research shaping the future
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perovskites — for applications in sustainable energy, spintronics, and quantum technologies. By combining physics-based theory with data-driven models, you will contribute to the next generation of predictive
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production of chemicals and fuels through large-scale conversion of renewable electricity into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research