A postdoctoral fellow position is available in the Department of Radiation Physics under the mentorship of Tucker Netherton, DMP, PhD. This fellowship focuses on advancing AI and machine learning applications in radiation oncology and radiology. The candidate will work within the Radiation Planning Assistant (RPA) initiative, a global health project dedicated to developing automated contouring and treatment planning tools for cancer care. The role involves collaborating with multidisciplinary teams to design, implement, and validate deep learning models for medical image segmentation, treatment planning, and quality assurance. In addition, the fellow will participate in NIH-funded projects and international collaborations aimed at improving patient care through innovative computational solutions.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
*LEARNING OBJECTIVES*...