The goal of radiation therapy (RT) for treating cancer patients is to deliver sufficient dose to tumor targets and at the same time minimize dose to normal tissues, for which many optimization problems remain to be solved. Optimization and computational algorithms are the foundations to the technology advance in radiation oncology, such as Intensity Modulated Radiation Therapy (IMRT) Volumetric Modulated Arc Therapy (VMAT) and Intensity Modulated Proton Therapy (IMPT). The Department of Radiation Oncology at the University of Kansas Medical Center (KUMC) has multiple postdoc/research assistant professor positions in the division of medical physics. Current research interests include 1. State-of-the-art physical dose optimization methods, such as proton VMAT, beam angle optimization and adaptive-spot IMPT. 2. Optimization of biological dose beyond physical dose, such as FLASH-RT and Spatially Fractionated Radiation Therapy (SFRT). 3. Machine learning or deep learning methods for outcome prediction and precision medicine. 4. Other computational methods for RT, such as numerical PDE methods for solving linear Boltzmann transport equation (LBTE), PDE-based numerical inverse problems, deformable image registration, auto segmentation and image reconstruction. The applicants may send CV, research plan (half page; optional), and 1-3 selected publications (optional), to Dr. Hao Gao, Director of Physics Research, HGAO2@KUMC.EDU More information available at https://www.kumc.edu/h76805.html The city of Overland Park is near KUMC, and has been consistently ranked nationally among top 10 best places to live, in terms of school district and quality of life. |