PhD-Position (f/m/d)
Core
Develop pathomics models and machine learning pipelines to analyze histological slides and spatial transcriptomics data for autoimmune kidney diseases.
Role type
PhD researcher in computational pathology and bioimage analysis
Builds
Digital biomarkers and predictive models for clinical outcomes in nephropathology
Domain
Biomedical research / Computational pathology / Spatial transcriptomics
Deliverable
production ML models
Required skills
Deep learning, histology segmentation, spatial transcriptomics analysis, biostatistics, machine learning model implementation
Preferred skills
Prior experience in spatial transcriptomics, computer vision, or computational pathology
Technologies
NVIDIA DGX A100, Python (implied by ML context), deep learning frameworks
Responsibilities
Develop pathomics models for H&E- and PAS-stained slides; Apply joint analysis techniques for pathomics and spatial transcriptomics; Implement ML models to predict clinical outcomes; Write scientific publications and present data at conferences
