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from large‑scale immune repertoire data and in translating these insights into rational, model‑driven prioritization of high‑quality nanobody candidates. Working at the interface of immunology, protein
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practices and international standards. Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale ML development and deployment. Your profile PhD
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in close partnership with the universities in Flanders. The ICT department at VIB ensures that assets, technology, information, and data are managed securely and efficiently. Our focus includes
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the mechanisms of brain function and neurological disease across the scales of biology, spanning neurodegeneration, neurodevelopment, synaptic biology, and computational neuroscience. AI and large language models
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related field. Demonstrated expertise in multi-omics integration and large-scale data analysis. Strong programming skills (e.g., R, Python, workflow systems). Proven publication record in peer-reviewed
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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of transmembrane β-barrel nanopores. The group provides an interdisciplinary environment where computational method development is closely integrated with experimental validation and large dataset
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of transmembrane β-barrel nanopores. The group provides an interdisciplinary environment where computational method development is closely integrated with experimental validation and large dataset
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members. The Proteomics Core offers advanced, mass spectrometry–based technologies for comprehensive proteome and protein analysis. The core supports projects including, but not limited to large-scale and