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(www.aertslab.org), led by VIB.AI Scientific Director Stein Aerts, is seeking a talented postdoctoral researcher to develop next-generation sequence-to-function models for glioblastoma (GBM). Glioblastoma is the most
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spectrometry-based phosphoproteomics, redox proteomics (CysQuant), and RNA-sequencing, leveraging VIB's Proteomics Expertise Center. Job description Within a larger project on climate-resilient crops, on healthy
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Amplicon sequencing analysis Grant and manuscript writing Guide students and work with technicians Profile Candidates must have a PhD in (Plant) Biotechnology, Molecular Biology, Biochemistry or equivalent
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disease. Key responsibilities Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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cancer driver mutations. We aim to bridge the gap between somatic genotypes and phenotypes using cutting-edge approaches including long-read sequencing (PacBio, Nanopore), single-cell multiomics (e.g. doi
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and delivered, applying certified project methodologies. You are someone who actively drives progress, keeps stakeholders aligned, and makes sure nothing slips through the cracks. You follow up
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innovative technologies. VIB Technologies comprises multiple state-of-the-art core facilities, each with a specific technology focus and embedded within the VIB centers in Ghent, Leuven, Antwerp or Brussels
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of neurodegeneration, totaling to over 1,500 human brain samples. Using an array of -omics techniques, e.g. long read DNA sequencing, single nuclei transcriptomics and multi-modal proteomics, the team aims to identify
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to mentoring junior lab members and participate in grant writing and dissemination activities Develop and execute strategies for cloning, genotyping, RNA sequencing, stress assays Contribute to a collaborative
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leading research institute focused on understanding cancer biology and developing innovative therapies. Our Bioinformatics & AI Expertise Unit provides advanced computational support to multiple research