

C. elegans Developmental Genetics
We use genetics, genomics, and high resolution microscopy in C. elegans to study the apical extracellular matrix that coats exposed cell surfaces and the insides of tubes.
Digital pathology and AI in cancer research
AI supporting cancer research and clinical diagnostics
Biomedical AI research
The position is focused on biomedical AI research. Key areas of interest include domain-specific foundation models, LLMs, agentic AI, and knowledge graphs.
Integrating machine learning with magnetic resonance imaging for predicting treatment outcomes of pancreatic cancer.
Integrating machine learning (ML) with Magnetic resonance imaging (MRI) for predicting treatment outcomes of pancreatic cancer.
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