Postdoctoral Research Fellow - AI for Medical Imaging

Dr. Mitchel Stacy Lab

A postdoctoral research position is immediately available within the Center for Regenerative Medicine at Nationwide Children’s Hospital working in the lab of Dr. Mitchel Stacy. Read more about the lab at the link below:

Stacy Lab | Nationwide Children's Hospital

Candidates should be highly motivated with an interest in biomedical imaging and deep learning image analysis, computational modeling, and/or vascular biology. Also required are excellent written and verbal communication skills, as the position will involve participation in manuscript and grant writing.

Research in the lab is focused on the development and validation of quantitative imaging techniques that allow for characterization of cardiovascular diseases and vascular remodeling. Of particular interest is PET imaging of skeletal muscle perfusion and PET/CT-based molecular imaging of vascular inflammation and calcification in the setting of Peripheral Artery Disease.

The lab utilizes multiple imaging modalities, which include clinical and microPET/CT, CT angiography, and ultrasound. The lab is equipped with a variety of image processing workstations, which include dedicated software for PET/CT image analysis, ANSYS for computational modeling research, dedicated tools for ultrasound image analysis, and a dedicated angiography workstation. Experimental work and training will be focused on pre-clinical models of peripheral vascular disease (small and large animal) and clinical cardiovascular imaging. Clinical imaging projects will be conducted in collaboration with the Ohio State University College of Medicine and additional pediatric hospitals across the United States.

To apply, interested individuals should send a letter of interest and recent copy of CV to Dr. Stacy at [email protected]

For more information related to the lab’s research, please refer to a list of recent publications...

https://www.ncbi.nlm.nih.gov/myncbi/14IZpslMVRrAt/bibliography/public/

Keywords

1. PET imaging
2. Computational Modeling
3. Deep Learning
4. Biomedical Imaging
5. Vascular Biology
6. Cardiovascular Disease
7. Nuclear Medicine
8. Skeletal Muscle Biology