Postdoctoral Position in Jeffrey J. Gray's Computational Protein Structure and Design Lab
Tasks
- Apply physics-based models
- Assemble training datasets
- Assess gaps in current tools
- Assess model performance
- Build model architectures
- Critically evaluate biomolecular designs using deep learning tools
- Develop deep learning tools for biomolecular engineering
- Evaluate deep learning methods for biomolecular engineering
- Perform structural analysis
- Plan collaborations with experimentalists
- Prepare research presentations
- Review scientific literature
- Train machine learning models
- Write journal articles
Perks/Benefits
- Computing Infrastructure
- Conference participation
- Dental insurance
- Health insurance
- Mentorship
- Vision insurance
Skills/Tech-stack
Architecture Design | Computational Biology | Data Set | Data Set Engineering | Deep learning | Machine Learning | Model Architecture | Model Architecture Design | Model Evaluation | Model Training | Physics-Based Modeling | Protein Engineering | Protein Structure Prediction | Protein biophysics | Protein docking | Protein structure | Protein-protein docking | Scientific Computing | Structural analysis | Structure prediction
Education
Roles
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