We are seeking a full-time postdoctoral fellow with experience in diffusion analysis with an emphasis on network-based approaches, NODDI, DKI, and tract-specific analysis. The NIH-funded project employs structural, diffusion, and relaxometry based MRI methods to target thalamo-cortical changes in morphometry, neural networks, and MRI-based markers of myelin in youths with perinatal brain injury.
We are seeking a candidate with the following qualifications: • Doctoral degree with 0-1 years of related work experience • Advanced skills in the processing and analysis of diffusion (including connectivity, DKI, and NODDI approaches) data, particularly focusing on network-based approaches are required • Experience with multicomponent T2 relaxometry
• Strong coding skills in python, MATLAB, bash, etc. • Experience working with clinical pediatric populations would be preferred • Experience with psychophysical assessments of functional vision would be advantageous, but not necessary • Experience with fMRI design and analysis is a plus
Interested candidates should send a cover letter including, a brief summary of their research interests and career goals, their C.V., and the names and phone numbers of three references to Corinna Bauer (Corinna_Bauer@meei.harvard.edu).