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Job description We’re looking for a postdoc with hands-on experience in genetically modifying marine phytoplankton—someone excited to learn how microbes naturally sequester carbon in the environment
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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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
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) acquire a preparatory post-doctoral research mandate to further develop and submit a competitive research proposal to FWO (Flemish Science Foundation) or MSCA (Horizon Europe Marie Curie fellowships), with
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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-katleen-de-preter-phd ). In 2022, an ERC consolidator grant was awarded to her to support the advancement of minimally-invasive assay for epigenetic tumor plasticity monitoring. The TOBI-lab is part of
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) acquire a preparatory post-doctoral research mandate to further develop and submit a competitive research proposal to FWO (Flemish Science Foundation) or MSCA (Horizon Europe Marie Curie fellowships), with
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& Disease Research. The research group aims to unravel the developmental trajectories of neurons implicated in emotional responses. Specifically, the team studies how amygdala neurons acquire their fate