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, (3) the development of translational strategies in circuit neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement AI-based methods and
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Method Development Develop novel genomic frameworks for detecting gene loss in plant genomes Implement approaches to distinguish DNA deletion from pseudogenization Analysis of gene
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. Their findings aim to unlock plant specialized metabolism for numerous human applications given these serve as a novel resource for engineering tools that will facilitate 1) the creation of (plant-based) synthetic
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subteam, working closely with an experienced lab technician, two dedicated PhD students, and two postdoctoral researchers on a project focused on in vitro screening methods, including the use of organoids
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function of BLA neurons projecting to the PFC. You will use a combination of circuit tracing methods coupled with electrophysiology recordings and advanced transcriptomics and proteomics technologies
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generated on liquid biopsies with bulk/single-cell/spatial omics data generated on the tumors. You will benchmark methods with state-of-the-art approaches. You will be involved in setting up the wet-lab