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in analysis of single-cell and spatial data. Key Responsibilities Collaborate with PhD students, postdoctoral researchers and other technicians. Analyze and integrate single-cell and spatial data
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and analysis, mouse monitoring, drug administration, and tissue collection and processing, as well as a range of molecular biology techniques such as qPCR, Western blotting, ELISA, and
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artificial intelligence, microelectronics and nanoscience, to microfluidics, single-cell and molecular analysis, functional genomics and cell biology in human cells and animal models. Discover our environment
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training in light and electron microscopy, as well as image processing and analysis. A dedicated team of microscopists supports the Ghent-based VIB research community, working closely with our sister
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, perform and document experiments in an Electronic Lab Notebook (ELN) Optional knowledge Golden Gate vector cloning Analysis of CRISPR/Cas9 edited plants Experience working with cereals (maize, wheat
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effectively with other members of the team. Should be proficient in written and spoken English. Desirable Requirements Experience in the analysis of single-cell RNA-Seq Experience in the analysis of multiomics
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design, optimization, and triage Conduct in-depth SAR analysis, combining experimental and in silico data towards the design of therapeutics Apply and supervise structure- and ligand-based design
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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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and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about
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. Affinity with cell biology - cell analysis techniques (e.g. FACS or scRNA-seq) is highly preferred. Proactive attitude in supporting researchers in their scientific endeavors, coupled