Postdoctoral Fellow in Radiation Physics for Nanoparticle-aided Cancer Imaging and Therapy Research

The University of Texas MD Anderson Cancer Center

Houston, TX

Job posting number: #7084583

Posted: September 2, 2021

Job Description

A postdoctoral fellow position is available under the supervision of Prof. S. H. Cho at Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

The appointed postdoctoral fellow will work on an NIH-funded project to investigate gold nanoparticle applications for radiation therapy. Emphasis will be given to AI/machine learning-based image analysis and Monte Carlo simulations at the nanoscale.

Candidates should hold a Ph.D. degree in physics, medical physics, engineering, or other related disciplines. Experience in Monte Carlo modeling with the Geant4 toolkit or similar code systems is highly desired. Computer programming skill in C++ and/or Python is required. Experience in machine learning platform (e.g., TensorFlow) and/or wet lab work (cell/animal imaging, clonogenic assay, etc.) is a plus.

This position is renewable annually upon satisfactory performance and will be available until a suitable candidate is found. The pay scale follows the current NIH postdoc salary standard.

To apply, please e-mail your current CV, a brief statement of research interest/experience, and your earliest date of availability. References will be requested after initial screening.

M. D. Anderson Cancer Center is an equal opportunity employer and does not discriminate on basis of race, color, national origin, gender, sexual orientation, age, religion, disability or veteran status except where such distinction is required by law. All positions at The University of Texas M. D. Anderson Cancer Center are security sensitive and subject to examination of criminal history record information. Smoke-free and drug-free environment.

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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