Postdoctoral Fellow - AI segmentation tools for PET/CT and MR images for radiotherapy

MD Anderson Cancer Center
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Job Description

A fellow postdoctoral position is available in the Department of Radiation Physics at the University of Texas MD Anderson Cancer Center under the direct supervision of Dr. Jinzhong Yang.

The primary research project is the development and validation of AI segmentation tools for PET/CT and MR images for radiotherapy.

The Tumor Measurement Initiative (TMI) STRIDE aims to build an institutional platform to support standardized, automated, quantitative imaging-based tumor measurement across each patient's journey to advance multidisciplinary, data-driven, high-precision cancer treatment.

Specifically, to process and analyze imaging data, including image quality, measurement tools, and newly developed automated segmentation tools (for tool evaluation and validation)

LEARNING OBJECTIVES

The potential candidate is expected to learn:

  • PET/CT image acquisition principles and applications;
  • PET/CT and MR images applied in radiotherapy;
  • deep learning image segmentation model training and validation.

ELIGIBILITY REQUIREMENTS

Candidates from diverse backgrounds are encouraged to apply. The successful applicant must hold a Ph.D. in the fields of Computer Science, Physics, Applied Mathematics, Electrical Engineering, Bioinformatics, or related fields.

Company Info.

MD Anderson Cancer Center

The University of Texas MD Anderson Cancer Center is one of the world's most respected centers devoted exclusively to cancer patient care, research, education and prevention. MD Anderson provides cancer care at several convenient locations throughout the Greater Houston Area and collaborates with community hospitals and health systems nationwide through MD Anderson Cancer Network.

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