Pre-Doctoral Fellow
Core
Develop automated segmentation and planning algorithms for radiation therapy and implement AI methods for cancer care, including imaging-based risk prediction and response assessment.
Role type
Pre-doctoral researcher (PhD candidate) in deep learning for medical imaging
Builds
Production-ready AI algorithms for radiation therapy planning and clinical risk prediction tools
Domain
Healthcare + Deep Learning / Medical Imaging
Deliverable
production ML models
Required skills
Deep learning, Artificial intelligence, Medical imaging analysis, Statistical analysis, Research design, Database management
Preferred skills
Vision-language models, LLMs, Oncology domain knowledge, Peer-reviewed publication record
Technologies
Deep learning frameworks, Electronic medical record systems
Responsibilities
Design and execute independent experiments for AI development, Evaluate AI performance in validation cohorts, Publish results in peer-reviewed manuscripts, Present findings at international conferences
Seniority
Pre-doctoral Fellow (PhD candidate), hands-on IC