Memorial Sloan Kettering Cancer Center (MSK) is one of the world’s premier cancer centers, committed to exceptional patient care, leading-edge research, and superb educational programs. The blending of research with patient care is at the heart of everything we do. The institution is a comprehensive cancer center whose purposes are the treatment and control of cancer, the advancement of biomedical knowledge through laboratory and clinical research, and the training of scientists, physicians, and other health care workers.
An opening is now available for a postdoctoral researcher in the department of medical physics for individuals interested in combining artificial intelligence in brachytherapy. The two-year project will focus on the development of advanced deep learning and machine learning image processing methods to automatically segment targets on medical images. Opportunities to work on related problems involving natural language processing in patient charts and developing clinical-release software is also possible, time permitting. This is an excellent opportunity for a researcher with a PhD in biomedical engineering, medical physics and computer science who are interested in investigating state-of-the-art artificial intelligence to solve immediate clinical problems, and who want to gain firsthand research and development experience from cancer treatment frontline and to pursue career in technology and healthcare industry in future. The job will involve working with a multi-disciplinary team of computer scientists, medical physicists, and radiation oncologists.
The ideal candidate should have:
If you have any questions about this job opportunity, please contact:
Tonghe Wang, Ph.D. DABR
Assistant attending physicist
** Please include curriculum vitae in your application submission.
Salary: $55,439 - $85,840
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
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