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in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
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of the team on projects related to plant phenotyping as well as with industrial partners. Key Responsibilities Design and lead your research project, with sufficient guidance and mentoring Contribute
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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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biotechnology. The project is funded by the Research Foundation- Flanders (FWO). Responsibilities Vector design and library construction Design large-scale CRISPR screens Plant tissue culture and transformation
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suite of technologies for studying protein aggregation, including advanced biophysical, ultrastructural, and cell‑biological platforms. Learn more about us on our website and don’t miss the laboratory
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: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological
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interdisciplinary work at the interface between neurodegeneration, modeling, screening and machine learning Prior experience in iPSC modelling and CRISPR tools Our Offer A stimulating, international
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centralized platforms ) and an experienced innovation & business team connecting science to industry and supporting spin-off creation. Within VIB, the Eyckerman lab creates and applies cutting-edge
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player and great collaborator Strong interest in interdisciplinary work at the interface between neurodegeneration, modeling, screening and machine learning Prior experience in iPSC modelling and CRISPR