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Field
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experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Direct, hands-on experience working with Large Language Models (LLMs) and/or transformer models. Familiarity and experience working with
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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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, unsupervised, and deep learning. Proficiency in appropriate model selection; simpler or complex models, depending on the data. Ability to work effectively within diverse, multidisciplinary teams of faculty
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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