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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_ba...@meei.harvard.edu).

Additional details can be found at:
https://secure-web.cisco.com/1PRcDuRd4mfRf2yIwKkDZ9B-oKmLA-2p68m-jCGxuMCJA8f7glCaKVcnpLSpPymTt5LL_ZZz1U6rPVyfpHRKJLCccf5seuMcS1PXZEr8k1BHYaGIcq6Uath-xRSXPCk_uk4uupQNIGbsnwLQEe311E2piHwMds55ypOBZTLDS7Yr0a_lz1E_8gIKzILQjupT047BLy37LwFR3HEC-doUZ0nu0gx4y4ghXHSKkxWNkp5qn7nGIuXcrWbbdGoPcc8ClblJDqQ7sYU3Mp6_W6eZ_Ew/https%3A%2F%2Fpartners.taleo.net%2Fcareersection%2Fmee%2Fjobdetail.ftl%3Fjob%3D3145087%26tz%3DGMT-05%253A00%26tzname%3DAmerica%252FNew_York
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