Postdoctoral Researcher in Computational Genetics
Tasks
- Apply DeepRVAT to population scale single cell omics
- Apply computational methods to large cohort studies
- Develop computational methods for rare variant effects
- Extend DeepRVAT framework for non coding variation
- Integrate scRNA seq with CRISPR perturbation datasets
- Leverage deep learning for variant aggregation
Perks/Benefits
- Annual paid leave
- Hybrid working arrangements
- Pension scheme
- Private medical insurance
- Professional development support
- Relocation assistance
- Visa support
Skills/Tech-stack
Bayesian Inference | Deep learning | Keras | Machine Learning | PyTorch | Python | TensorFlow
Education
Roles
Regions
Countries
States
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