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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
with explainable AI (e.g., SHAP) Experience with high-performance computing and software containers Experience with software development tools (e.g., git, Nextflow) We offer The VIB-UGent
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able to analyse complicated data. Good statistical knowledge and experience with geo-spatial analysis techniques is a benefit. Prior knowledge on wetland ecosystem functioning, and particularly on carbon
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player
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recapitulating neural-microglia interactions, as well as establishing fluorescence lifetime imaging microscopy (FLIM) approaches and analysis pipelines to perform non-destructive monitoring of neuronal function
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