A postdoctoral position on brain network analysis, with application to early brain development (using the data acquired from our precedential Baby Connectome Project (BCP)) and early diagnosis of brain disorders (including Alzheimer’s Disease, brain tumor, depression, etc.), is available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC, USA.
The successful candidate should have a strong background on functional or structural MRI processing and is able to interpret neuroscience questions based on the imaging analysis results. Experiences on processing of resting-state fMRI and DTI, development of novel brain network construction and comparison methods, individualized classification based on brain networks, and interpretation of disease-related functional and structural brain alterations, are highly desirable. People with experience on large dataset analysis are particularly encouraged to apply. Strong knowledge on programming (good command of Matlab and/or other languages) is also expected.
The research topic will be the development and validation of novel learning-based brain network construction/analysis methods or the application of existing tools to large datasets for early brain development study or early diagnosis of brain disorders.
The successful candidates will be part of a diverse group including radiologists, psychologists, neuroscientists, physicists, biostatisticians, and computer scientists, and will build upon the group's previous work on neuroimaging analysis. For more information, please see our website and our publication list. If interested, please email resume to Dr. Dinggang Shen ([log in to unmask]) or contact Dr. Han Zhang ([log in to unmask]) for more information.