University of Texas Southwestern Medical Center
Visiting Professor
University of Texas Southwestern Medical Center, Granite Heights, Wisconsin, United States
Visiting Faculty Position in Medical Physics and Engineering
This position is within the Division of Medical Physics and Engineering at UT Southwestern. The appointment will be at the rank of Visiting Professor. Applicants must have a Ph.D. in medical physics or a related field. The role involves working on projects including AI-driven image reconstruction, image registration, and image segmentation. The candidate will apply machine learning and deep learning techniques to address challenges in image-guided radiation therapy, such as real-time low-contrast liver tumor localization, automatic structure segmentation for online adaptive radiotherapy, and real-time MRI motion estimation and reconstruction. UT Southwestern is a leading research institution with six Nobel Laureates and 25 members of the National Academy of Sciences among its faculty. The Department of Radiation Oncology is at the forefront of developing innovative treatment strategies. The department includes 22 MD and MD/Ph.D. physicians, 14 medical residents, and the Division of Medical Physics and Engineering comprises 31 faculty physicists, 12 full-time dosimetrists, five research/service engineers, and numerous postdoctoral researchers and graduate students. Interested candidates should contact: Steve Jiang, Ph.D. Director of Medical Physics and Engineering UT Southwestern Medical Center Department of Radiation Oncology 2280 Inwood Road, Dallas, Texas 75390-9303 Email: Steve.Jiang@utsouthwestern.edu Appointment rank will depend on academic accomplishments and experience. Consideration may be given to applicants seeking less than full-time employment. This position is security-sensitive and subject to Texas Education Code 51.215, allowing UT Southwestern to obtain criminal history record information. For more information about employee benefits, visit
UT Southwestern HR Resources . UT Southwestern is committed to providing an equal opportunity environment and prohibits discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, citizenship, or veteran status.
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This position is within the Division of Medical Physics and Engineering at UT Southwestern. The appointment will be at the rank of Visiting Professor. Applicants must have a Ph.D. in medical physics or a related field. The role involves working on projects including AI-driven image reconstruction, image registration, and image segmentation. The candidate will apply machine learning and deep learning techniques to address challenges in image-guided radiation therapy, such as real-time low-contrast liver tumor localization, automatic structure segmentation for online adaptive radiotherapy, and real-time MRI motion estimation and reconstruction. UT Southwestern is a leading research institution with six Nobel Laureates and 25 members of the National Academy of Sciences among its faculty. The Department of Radiation Oncology is at the forefront of developing innovative treatment strategies. The department includes 22 MD and MD/Ph.D. physicians, 14 medical residents, and the Division of Medical Physics and Engineering comprises 31 faculty physicists, 12 full-time dosimetrists, five research/service engineers, and numerous postdoctoral researchers and graduate students. Interested candidates should contact: Steve Jiang, Ph.D. Director of Medical Physics and Engineering UT Southwestern Medical Center Department of Radiation Oncology 2280 Inwood Road, Dallas, Texas 75390-9303 Email: Steve.Jiang@utsouthwestern.edu Appointment rank will depend on academic accomplishments and experience. Consideration may be given to applicants seeking less than full-time employment. This position is security-sensitive and subject to Texas Education Code 51.215, allowing UT Southwestern to obtain criminal history record information. For more information about employee benefits, visit
UT Southwestern HR Resources . UT Southwestern is committed to providing an equal opportunity environment and prohibits discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, citizenship, or veteran status.
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