Postdoctoral Research Assistant in Biomedical Image Analysis (2 Posts)
Core
Develop machine learning and computer vision methods to integrate multi-omic data and analyze biomedical images for disease phenotype identification.
Role type
Postdoctoral Research Scientist (Biomedical Image Analysis)
Builds
Novel algorithms for tissue architecture analysis and disease detection using segmentation, multimodal AI, and foundation models.
Domain
Biomedical Engineering / Computer Vision / Machine Learning
Deliverable
production ML models
Required skills
deep learning, image segmentation, classification, multi-modal processing, foundation models, agentic frameworks, computer vision, biomedical image analysis, academic research management
Preferred skills
experience translating research prototypes into practical tools
Technologies
segmentation, multimodal AI, foundation models, agentic frameworks
Responsibilities
Apply and develop cutting-edge machine learning methods to integrate and analyze multi-omic data; develop novel algorithms using state-of-the-art computer vision and machine learning techniques; work closely with software engineers and data platform developers to translate research prototypes into practical tools.
Seniority
Postdoctoral Researcher