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and propose meaningful and testable hypotheses, grounded in disease biology. Perform end‑to‑end processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
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is to integrate genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at
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possible How to apply? Please complete the online application procedure (https://jobs.vib.be/apply/131864 ) and include: a detailed CV, including concrete experience a motivation letter describing your
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accumulate genetic and epigenetic changes that fuel somatic evolution through drift and selection. Over time, these processes turn tissues into molecular mosaics containing competing subclones, often carrying
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responsible for the design, operation, and future evolution of VIB Data Core’s on-premise and hybrid infrastructure that supports life sciences research. You will manage a team of infrastructure engineers and
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application procedure (https://jobs.vib.be/apply/131332 ) and include a detailed CV, a reference letter, and a motivation letter. For further information and questions, please send an email to Yvan Saeys
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-on experimental support to researchers across the lab, assisting with study design, sample preparation, acquisition, analysis, and data visualization Oversee tissue processing workflows, including isolation
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of a Biotechnology campus in Ghent, Belgium. Its mission is to unravel plant biological processes and translate this knowledge into value for society. The Plant Genome Editing group focuses
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issues efficiently. You are comfortable working across different ICT domains (end-user support, systems, and basic infrastructure tasks). You enjoy solving problems, but also improving processes and