Medical Physics: Health Physics/Radiation Safety, Medical Physics: Industry
An opening is now available for a research appointment in the Department of Medical Physics at the postdoctoral level for individuals interested in medical physics research. The two-year research project entails the development of new deep learning algorithms for predicting patient anatomical change during the course of radiotherapy and guiding the re-planning in adaptive radiotherapy. Applicants should have a strong background on machine learning, neural networks and medical image analysis. Fluent programming skills in Python or MATLAB are required and experience with C/C# is desirable. While a strong background in medical physics or computer science is preferred, all physics and engineering backgrounds will be considered. Experience with image registration, image segmentation, treatment planning and radiomics is a plus, but not required.
Selected candidates who satisfactorily complete all aspects of the postdoctoral research fellowship will be given preferential admission to the two-year MSKCC CAMPEP Accredited Residency Program in Therapeutic Medical Physics, which would lead to a career in medical physics.
The Department of Medical Physics consists of over forty faculty physicists and computer scientists plus support staff working on various physical problems related to diagnosis and therapy for cancer.
Memorial Sloan Kettering Cancer Center is located on the Upper East Side of Manhattan, and is recognized as a world leader in clinical cancer care and research.
Interested candidates should send a resume and list of three references by the end of November 2018 via e-mail to:
Memorial Sloan Kettering Cancer Center — the world’s oldest and largest private cancer center — has devoted more than 130 years to exceptional patient care, innovative research, and outstanding educational programs. Today, we are one of 45 National Cancer Institute–designated Comprehensive Cancer Centers, with state-of-the-art science flourishing side by side with clinical studies and treatment.
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