Postdoctoral Fellow- Machine Learning for Regulatory Genomics, Mostafavi Lab
South San Francisco, United States
USD 110K-120K Senior-level Full Time
Tasks
- Analyze causal relationships between genetic variation and disease outcomes
- Build machine learning models for regulatory genomics
- Collaborate with genomics and human genetics researchers
- Develop sequence to function deep genomics models
- Generate out of distribution prediction results
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Causal Inference | Data Analysis | Deep learning | Function modeling | Genomics | Machine Learning | Out of Distribution | Out of Distribution Prediction | Regulatory genomics | Sequence-to-Function | Sequence-to-Function Modeling
Education
Roles
Regions
Countries
States
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