Postdoctoral Position in Jeffrey J. Gray's Computational Protein Structure and Design Lab
Tasks
- Assemble novel data sets
- Assess gaps in current tools
- Build deep learning architectures
- Create presentations
- Critically assess biomolecular designs using deep learning tools
- Critically assess biomolecular designs using physics based models
- Develop deep learning tools for biomolecular engineering
- Evaluate deep learning methods for biomolecular engineering
- Perform structural analysis for biomolecular designs
- Plan collaborations with experimentalists
- Review literature on biomolecular structure and design technologies
- Train and assess machine learning models
- Write journal articles
Perks/Benefits
- Dental insurance
- Health insurance
- NVIDIA GPU Computing Infrastructure
- Supportive mentoring
- Vision insurance
Skills/Tech-stack
Computational modeling | Computational protein design | Data Set | Data Set Building | Deep learning | Machine Learning | Protein Design | Protein Engineering | Protein Structure Analysis | Protein Structure Prediction | Protein biophysics | Protein docking | Protein structure | Protein-protein docking | Structure analysis | Structure prediction
Education
Roles
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