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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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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. Furthermore, the lab also hosts state-of-the-art facilities dedicated
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this, we integrate mouse genetics & in vivo imaging, CRISPR gene editing, single-cell and spatial transcriptomics, high-content imaging & bioinformatics, electrophysiology & disease modeling Our lab culture
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The overarching goal of the TOBI-team is to enhance precision cancer management through the development of innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof
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single-cell RNA-seq and single cell Omics (including multiplex proteomics, transcriptomics data, and TCR sequencing) by applying best-practice bioinformatics workflows. It will require a highly motivated
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medical research. The core also provides bioinformatics tools for data analysis, integrating metabolomic findings with other omics data. Collaborative research and training are key offerings. This facility
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English for oral and written communications. Experience with bioinformatics and high-throughput approaches are desirable, but not required. You have good communication skills, are a team player, and are
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, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as demonstrated by peer-reviewed publications in international journals. Having good
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, bioinformatics. A passion for science. Self-motivated, kind and inclusive team players who work well in a collaborative, international environment. Excellent spoken and written English (our working language). We