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, industrial and medical applications and new innovative biotech companies. The Laboratory for Genome Editing and System Genetics at CfM combines development of high-throughput genome editing tools with large
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center for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated
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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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their phytoplankton genetics expertise and learn our approaches in high-throughput metabolomics, enzyme assays, cellular metabolism, and metabolic engineering. We’re seeking someone independent, curious, and driven. As
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that mimick human striatal function and we are using these systems to study the mechanisms of Parkinson’s disease. The system, that involves a high density multielectrode array enables us to measure single
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of cellular metabolism or physiology. Experience in genetic engineering of phytoplankton or mass spectrometry-based metabolomics is a plus. The postdoc will get training in high-throughput metabolomics and
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in pre-processing and processing large biomedical datasets, including bulk and single-cell (epi)genomics and transcriptomics data using high-performance computing. You have excellent written and oral
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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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biology platforms for the sustainable production of high-value plant metabolites and 2) increased crop productivity by improvement of plant fitness in a changing environment. The research of the De Mey lab
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regulating plant growth under a changing climate, especially high temperature. The applicant will be tasked with mapping the dynamic changes in the stomata (phospho)proteome through low-input proteomics and