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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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, including workflow optimisation, automatization, equipment procurement, and SOP development. Coordinate the derivation, quality control and biobanking of patient-derived iPSC lines, in collaboration with core
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of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational
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