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from non-neuroscience fields but with a keen interest in understanding the brain (e.g., physics, artificial intelligence, engineering, humanities, and medical training) are also strongly encouraged
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the most likely underlying neuropathological subtypes in FTD and AD patients. The project will make use of genetic information from the largest FTD and AD patient-control cohorts, including
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, molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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role in membrane remodeling. It also aims to deepen the mechanistic understanding of solute transport in ion channels and transporters of medical relevance. We apply state of the art methods
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prodromal cohorts and link them to clinical readouts and α-synuclein reactivity. Use cutting-edge single-cell and immune-profiling approaches, linked to clinical phenotyping, to discover early biomarkers and
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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drive neuroinflammation in synucleinopathies and other neurodegenerative diseases. The candidate will employ advanced in vivo models and spatial technologies to dissect the roles of tissue-resident
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tools, vaccines, diagnostics, and biopharmaceuticals. The research at CMB pushes the boundaries of biomolecular and bioinformatics research and engineering technologies. VIB.AI studies fundamental
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. The applicant is expected to apply for their own fellowship, and will be fully supported during the process Access to state-of-the-art infrastructure and core facilities in a vibrant, world-class