Visiting Scholar (Lee, Myeongjin)

Emory • Atlanta, GA

9d • Onsite

About The Position

The Division of Neuropharmacology and Neurologic Diseases (NND) within the Emory National Biomedical Research Center (ENBRC) at Emory University in Atlanta, GA, is currently seeking a Visiting Scholar to join the laboratory of Dr. Phil Zhe Sun on a temporary basis. The ideal candidate should be motivated, dependable, detail-oriented, and have a positive attitude and passion for research. The Visiting Scholar will be a team player who is willing to learn on the job and collaborate with lab members and center members. The Visiting Scholar will work to ensure the highest quality of laboratory research support and have good communication skills with co-workers, the management team, PI’s, research staff, students, and other support services. Collaborate. Innovate. Serve. These three simple words capture what we do at ENBRC to help advance science and improve the health and well-being of humans and non-human primates. If you are someone with laboratory research experience who is familiar with AI image reconstruction research, this is an amazing opportunity to indirectly save and change lives and make a positive impact in the science and research community. Dedicated to discovering causes, prevention, treatments, and cures of disease, the Emory National Biomedical Research Center (ENBRC) is improving human and animal health and lives worldwide. One of seven NPRCs funded by the NIH, ENBRC conducts studies that make breakthrough discoveries possible. Learn more at http://enbrc.emory.edu .

Requirements

• Laboratory research experience
• Familiarity with AI image reconstruction research

Nice To Haves

• Excellent interpersonal and written and verbal communication skills.
• Strong foundation in artificial intelligence and image processing.
• Bachelor's degree in Computer Engineering or a related field.

Responsibilities

• Participate in research focused on developing advanced AI-based reconstruction methods for Chemical Exchange Saturation Transfer (CEST) MRI.
• Leverage a background in deep learning, self-supervised learning, and physics-informed image reconstruction to develop accelerated and quantitative CEST MRI reconstruction techniques.
• Contribute to algorithm development, implementation, and validation of AI-based reconstruction methods for CEST MRI.

What This Job Offers

• Career Level: Mid Level