Postdoc in Machine Learning for Combating Antimicrobial Resistance - DTU Chemistry
Tasks
- Build and evaluate probabilistic deep learning models for bacterial growth prediction
- Coordinate model experiment cycles with wet lab partners
- Design DNA libraries with generative synthesis models
- Develop and train generative protein models to predict resistance variants
- Present at international conferences
- Propose novel compounds optimized for broad spectrum activity
- Publish research results
Perks/Benefits
Skills/Tech-stack
Biological Data | Biological data analysis | Computational Biology | DNA library design | Data Analysis | Deep learning | Generative Modeling | High Throughput | High Throughput Screening | Library design | Machine Learning | Molecular Machine Learning | Molecular Modeling | Probabilistic Modeling | Protein modeling | Scientific Communication
Education
Regions
Countries
States
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