Postdoctoral Position on Brain Network Analysis
A postdoctoral position on brain network analysis, with application to early brain development (using the data acquired from our Baby Connectome Project (BCP)) and early diagnosis of brain disorders (including Alzheimer’s Disease), is available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
The successful candidate should have a strong background on functional/structural MRI processing and also the interpretation of 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, 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 LINUX, C and C++, scripting, and Matlab) is also expected. The research topic will be the development and validation of novel learning-based brain network analysis methods, or the application of existing tools to large dataset 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. If interested, please email resume to Dr. Dinggang Shen (firstname.lastname@example.org).