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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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different stages of the cell cycle (Vukašinović and Hsu et al., 2025, Cell). We are looking for a motivated PhD student to investigate how hormonal signals are integrated and coordinated to control the plant
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accessibility and gene expression data for all major cell types forming the peripheral nerve environment (as well as controls), generated from the patient-derived iPSCs and integrate these data into the cis
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