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flow cytometry you will develop advanced tools to analyse and study microglia phenotype, function and dysfunction. If you are up for a technological challenge to address key biological questions
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tools to analyse and study microglia phenotype, function and dysfunction. If you are up for a technological challenge to address key biological questions, this project could be a perfect fit for you
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You hold a PhD in translation studies, media accessibility, linguistics, psychology, philosophy, social sciences, or disability studies (or you will have obtained it by the time you start work). You
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flow cytometry you will develop advanced tools to analyse and study microglia phenotype, function and dysfunction. If you are up for a technological challenge to address key biological questions
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optimized, you will apply the technique to solve open questions on the structural transformations occurring in batteries during cycling. The preferred starting date is 1 December 2025. Profile You hold a PhD
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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
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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
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strong interest in developmental, cellular or molecular neurobiology, in link with human brain evolution and diseases. PhD in neuroscience, genetics, evolutionary biology or related field. Experience in
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strong interest in developmental, cellular or molecular neurobiology, in link with human brain evolution and diseases. PhD in neuroscience, genetics, evolutionary biology or related field. Experience in
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology