Postdoctoral and visiting student/scholar positions — Fetal/infant brain MRI processing for early diagnosis of autism (UNC at Chapel Hill)
Tuesday 20th October 2020
Postdoctoral research associate and visiting student/scholar positions are available in the Department of Radiology at the University of North Carolina at Chapel Hill (UNC-Chapel Hill), for the development of fetal/infant brain MRI processing algorithms, including tissue segmentation, parcellation, and early diagnosis of autism.
• The successful candidate should have a background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on medical image analysis;
• Experience on medical image segmentation using deep learning is highly desirable;
• Participants with good performance in our organized infant segmentation challenges iSeg-2017 and iSeg-2019 are particularly encouraged to apply.
Dr. Li Wang’s Medical Image Computing lab (https://liwang.web.unc.edu) is committed to developing innovative computational methods and tools for processing and analyzing medical imaging data, especially for fetal/infant brain MRI. We are focusing on fetal/infant brain processing since 2007. Currently, we have pioneered a comprehensive set of advanced fetal/infant-dedicated pipeline, iBEAT V2.0 Cloud (http://www.ibeat.cloud), for automated processing of fetal/infant brain MRIs. iBEAT V2.0 Cloud can handle fetal/infant brain images from multiple sites with various scanners and protocols. Up to date, we have successfully processed 4500+ infant brain images from 70+ institutions, including Boston Children's Hospital/Harvard Medical School, Stanford University, Yale University, University of Maryland, University of California, University of Pennsylvania, Washington University in St. Louis, Tokyo Metropolitan University, Arkansas Children’s Research Institute, and Princeton University. We have received numerous praise and positive feedback from the community. The new positions are for the further development of fetal/infant brain MRI processing algorithms, including tissue segmentation, parcellation, and early diagnosis of autism.
If interested, please email your CV to Dr. Li Wang: email@example.com
|Organization||University of North Carolina at Chapel Hill|
|Location||University of North Carolina at Chapel Hill|
|Title||Postdoctoral and visiting student/scholar positions — Fetal/infant brain MRI processing for early diagnosis of autism|