Cheminformatics › Machine Learning QSAR/QSPR Research
Transfer Learning and Deep Learning for Chemical Space Exploration
Interns will develop and fine-tune deep learning models (graph neural networks, convolutional neural networks) pre-trained on large chemical datasets for downstream property prediction tasks. They will explore transfer learning approaches to improve model performance on small, specialized chemical datasets and evaluate generalization across different chemical scaffolds.
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