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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 in computer science, neuroscience, or related field • Advanced skills in the processing and analysis of diffusion (including connectivity, DKI, and NODDI approaches) data, particularly focusing on network-based approaches are required • Strong coding skills in python, MATLAB, bash, etc. • 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).

Additional details can be found at: https://secure-web.cisco.com/1PRcDuRd4mfRf2yIwKkDZ9B-oKmLA-2p68m-jCGxuMCJA8f...