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A postdoctoral fellow position is available in the Department of Radiation Physics under the mentorship of Tucker Netherton, DMP, PhD. This fellowship focuses on advancing AI and machine learning applications in radiation oncology and radiology. The candidate will work within the Radiation Planning Assistant (RPA) initiative, a global health project dedicated to developing automated contouring and treatment planning tools for cancer care. The role involves collaborating with multidisciplinary teams to design, implement, and validate deep learning models for medical image segmentation, treatment planning, and quality assurance. In addition, the fellow will participate in NIH-funded projects and international collaborations aimed at improving patient care through innovative computational solutions.

All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

*LEARNING OBJECTIVES*

Gain expertise in developing and validating machine learning and deep learning models for medical imaging and radiation therapy workflows.

- Develop skills in high-performance computing, and software development

- Develop proficiency in interdisciplinary collaboration, scientific communication, and dissemination of research through publications and conferences.

- Understand ethical considerations and regulatory requirements for AI in medicine, including global health equity implications.

*ELIGIBILITY REQUIREMENTS*

- Ph.D. in Medical Physics, Biomedical Engineering, Computer Science, Applied Mathematics, or related field.

- At least 2 peer reviewed primary author publications in the last two years.

- Mandatory expert level programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow, JAX).

- Familiarity with medical image analysis and radiotherapy workflows.

- Excellent oral and written communication skills (English language); ability to work collaboratively in a diverse, international team.

*POSITION INFORMATION*

MD Anderson offers full-time postdoc positions with a [salary ranging from $64,000 to $76,000](https://trainees.mdanderson.org/apply/mdaPostdoctoralFellowStipendFY24.pdf). depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent [benefits](https://www.utsystem.edu/offices/employee-benefits/insurance-0/eligibility), including medical, dental, [paid time off](https://www.mdanderson.org/about-md-anderson/employee-resources/leave.html), [retirement](https://www.utsystem.edu/offices/employee-benefits/ut-retirement-program/voluntary-retirement-programs), tuition benefits, educational opportunities, and individual and team recognition

Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. [http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html](http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html)