The ideal candidate will join our team to utilize artificial intelligence in enhancing radiation therapy techniques, with a focus on outcomes prediction and adaptive radiation applications.The Radiation Oncology Department is currently comprised of 9 faculty physicists, 8 radiation oncology residents, and 10 faculty radiation oncologists.
Engages in multidisciplinary research projects, co-authors publications, and presents findings at medical and technical conferences.Continuous Learning & Training:
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