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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will
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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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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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datasets Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate Design and lead your research project, with sufficient guidance and mentoring. Contribute