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Postdoctoral Fellow - Imaging Physics

Job in Houston, Harris County, Texas, 77246, USA
Listing for: MD Anderson Cancer Center
Full Time position
Listed on 2025-12-31
Job specializations:
  • Science
    Research Scientist, Clinical Research
Salary/Wage Range or Industry Benchmark: 64000 - 76000 USD Yearly USD 64000.00 76000.00 YEAR
Job Description & How to Apply Below

Join to apply for the Postdoctoral Fellow - Imaging Physics role at MD Anderson Cancer Center
.

A postdoctoral fellowship position is available in the Department of Imaging Physics in the laboratory of Chengyue Wu, PhD.

Dr. Chengyue Wu’s research interests focus on computational precision oncology, especially integrating computational/mathematical approaches with emerging biomedical imaging techniques to improve the diagnosis, prognosis, and treatment of human cancers. Dr. Wu has extensive experience developing and validating image processing methods and image‑guided models for investigating tumor growth and treatment response, tumor-associated vasculature and microenvironment, and drug delivery. The lab is in a highly collaborative research environment with access to world‑class resources, expertise, and data.

Current projects seeking postdoctoral fellows include image‑guided computational modeling (“digital twins”) to predict and optimize cancer (especially breast cancer) treatment response on a patient‑specific basis.

Learning Objectives

This postdoctoral fellow will engage in highly productive interdisciplinary research projects in image‑guided precision oncology and personalized cancer healthcare. The fellow will expand their knowledge and skills in image‑guided mechanistic modeling.

The fellow will have opportunities to contribute to ongoing research projects and will be encouraged to explore and develop new areas of research interest with guidance from the mentor. The fellow will be expected to work closely with research/clinical collaborators, communicate findings via reports, abstracts, presentations, and publications, and actively participate in seminars, conferences, and related academic endeavors.

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

Eligibility Requirements

Applicants should have earned a Ph.D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be U.S. citizens or permanent residents. This appointment is not part of a clinical training program;

individuals holding an M.D. degree or equivalent are not permitted to engage in patient care activity.

Additional Application Information

The trainee will be appointed for one year from the date of hire with an option to be renewed for up to three years.

Position Information

MD Anderson offers full‑time postdoc positions with a salary ranging from $64,000 to $76,000 depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.

Employment Policies

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.

Equal

Employment Opportunity Statement

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.

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Faculty Mentor

Chengyue Wu, PhD

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