Applied AI Scientist
Tasks
- Apply machine learning to drug discovery
- Build graph neural networks for molecular interactions
- Design and implement novel machine learning algorithms
- Develop and evaluate regression and ranking models
- Develop generative models for molecular properties
- Implement physics informed machine learning
- Predict protein ligand interactions
- Process molecular datasets and build QSAR models
- Translate models into actionable insights with researchers
Perks/Benefits
Skills/Tech-stack
Dataset Processing | Generative Models | Graph Neural Networks | Machine Learning | Molecular Dataset Processing | Neural Networks | Physics-informed AI | Protein Ligand | Protein Ligand Interaction | PyTorch | Python | QSAR | Ranking | Regression | Scientific Computing | Scikit-learn | TensorFlow
Education
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