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. Amongst others, the group's current projects leverage approaches from network science and machine learning in tool development for (1) modeling of regulatory interactions at bulk and single-cell resolution
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science and machine learning in tool development for (1) modeling of regulatory interactions at bulk and single-cell resolution, (2) integration of regulatory networks with multi-omics data, (3) fine-tuned
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field obtained in the last 5 years. Possess strong programming skills. Experience in machine learning (deep learning would be an advantage). Ability to collaborate with researchers from different fields
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, progression, and disease heterogeneity. Amongst others, the group's current projects leverage approaches from network science and machine learning in tool development for (1) modeling of regulatory interactions