AI/ML Postdoctoral Fellow – F Rouhani lab
Tasks
- Apply graph neural networks transformer models and generative AI to study clone microenvironment interactions
- Collaborate with computational scientists clinicians and experimental researchers
- Design benchmarking strategies and reproducible computational workflows
- Develop advanced AI ML methods for spatial genomics and histology
- Integrate spatial transcriptomics single cell sequencing and imaging datasets
- Lead publications conference presentations and research dissemination
- Perform clonal reconstruction and spatial mapping analyses from genomic datasets
Perks/Benefits
- 28 days annual leave
- Back up care for dependents
- Bike to work scheme
- Childcare support allowance
- Discounted gym memberships
- Health and well-being support
- Mental health support
- Subsidised on-site restaurant
- Visa sponsorship
Skills/Tech-stack
Cloud Computing | Computational Biology | Data Analysis | Deep learning | Foundation Models | Generative AI | Graph Neural Networks | High Performance | High-Performance Computing | Image analysis | JAX | Machine Learning | Neural Networks | NumPy | Pandas | Performance Computing | PyTorch | Python | Reproducible computing | Single cell data | Single cell sequencing | Single-Cell Data Analysis | Single-cell | Spatial genomics | Spatial transcriptomics | Transformers | Workflow Orchestration
Education
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