AI/ML Postdoctoral Fellow - F Rouhani Lab
Core
Lead a computational project investigating driver mutation clones and their microenvironment interactions in chronic liver disease and liver cancer using advanced machine learning on spatial genomics and multi-modal biological datasets.
Role type
Postdoctoral Fellow (AI/ML for spatial genomics)
Builds
Research findings, publications, and conference presentations
Domain
Biomedical research / Computational biology / Spatial genomics
Deliverable
research
Required skills
Deep learning development, Graph neural networks, Transformer models, Generative AI, Python (numpy, pandas, PyTorch, JAX), Spatial transcriptomics analysis, Single-cell sequencing analysis, Clonal reconstruction, Spatial mapping
Preferred skills
Experience with histology datasets, Experience with large-scale multi-modal biological datasets
Technologies
PyTorch, JAX, numpy, pandas
Responsibilities
Develop advanced AI/ML methods for spatial genomics and histology datasets, Apply graph neural networks and transformer models to study clone-microenvironment interactions, Integrate spatial transcriptomics, single-cell sequencing, and imaging datasets, Design benchmarking strategies and reproducible computational workflows, Perform clonal reconstruction and spatial mapping analyses, Lead publications and dissemination of research findings
Seniority
Postdoctoral Fellow