Postdoctoral positions in diffusion models-based medical image analysis and reconstruction

Monday 25th March 2024

Contact Email for the Job Posting
Organization University of Florida
Location United States
Title Postdoctoral positions in diffusion models-based medical image analysis and reconstruction
Closing date Oct 21, 2024
Description Positions:
The Gong Lab at the University of Florida (UF) currently has two postdoctoral openings for individuals interested in working on diffusion models-based medical image analysis and reconstruction. The research projects focus on leveraging diffusion models-based techniques to enhance the diagnosis and progression tracking of Alzheimer’s disease (AD) and cancer. These projects involve collaborations with esteemed researchers and clinicians from Massachusetts General Hospital, Harvard Aging Brain Study, and MD Anderson Cancer Center.
• Applicants should possess a Ph.D. in engineering, statistics, mathematics, physics, neuroscience, or a related field.
• Strong analytical, quantitative, programming, and communication skills are essential.
• Prior research experience in medical image analysis is desirable.
• Prior experience in machine learning or deep learning, along with proficiency in Pytorch/TensorFlow programming, is desirable.
• Candidates should demonstrate self-motivation and the ability to work both independently and collaboratively.
UF is the premier higher education institution in the state and is currently ranked #6 nationally among all public universities (2024 U.S. News & World Report) and among the top 20 research Universities by the Carnegie Commission on Higher Education. UF is making artificial intelligence the centerpiece of a major, long-term initiative that is combining world-class research infrastructure, leading-edge research and a transformational approach to curriculum. The HiPerGator supercomputer at UF provides us with great resources (~20 A100 GPUs per lab member) to work on computing-intensive projects.
Apply: If interested, please send your curriculum vitae and contact information of three references to Dr. Gong.