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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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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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, you will engineer synthetic promoters controlling context-specific gene expression in Arabidopsis. You will develop high-throughput (molecular) phenotyping methods to screen transcriptional activity
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behavior in mice and measure calcium signals in the bladder’s urothelium, its inner lining. We now aim to combine these methods with optogenetics to explore how sensory signaling in the urothelium affects
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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