Postdoctoral Researcher - Radiation Oncology
Core
Developing novel machine learning and deep learning methodologies for medical imaging, computational pathology, and multimodal biomedical data analysis to advance precision oncology research.
Role type
Postdoctoral Researcher (AI/ML in Medical Imaging)
Builds
Research outputs including publications, conference presentations, and novel AI algorithms for radiology and pathology.
Domain
Biomedical research, Artificial Intelligence, Medical Imaging, Oncology
Deliverable
production ML models | research
Required skills
Machine learning, Deep learning, Computer vision, Multimodal AI, Independent research, Collaborative research
Preferred skills
Computational pathology, Whole-slide image analysis, Medical image analysis (CT, MRI, PET/CT), Vision-language models, Multimodal large language models, High-performance computing
Technologies
Large-scale radiology datasets, Pathology datasets, Genomic datasets, Transcriptomic datasets, Clinical datasets
Responsibilities
Designing and implementing AI algorithms using large-scale biomedical datasets, Publishing research in leading journals and conferences, Presenting findings at scientific meetings, Mentoring graduate and medical students, Establishing interdisciplinary collaborations
Seniority
Postdoctoral Fellow (Early-career researcher)