Postdoc in Epistatic-Aware Machine Learning for Protein Engineering - DTU Compute
Tasks
- Apply Bayesian optimization for protein engineering
- Capture epistatic effects using machine learning models
- Develop machine learning models for protein engineering
- Optimize additive effects and epistatic effects
- Quantify prediction uncertainty
Perks/Benefits
- Academic freedom
- Collaborative team
- Collegial respect
- Flexible work-life balance
- International environment
Skills/Tech-stack
Bayesian optimization | Machine Learning | Protein Engineering | Uncertainty Quantification
Education
Regions
Countries
States
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