A postdoctoral
fellowship focused on studying the neural
correlates of pediatric depression is now available at the Mount
Sinai School Medicine in New York, NY. This
is an exciting opportunity to apply a multimodal imaging
approach to the study of mood disorders, combining
resting state functional MRI, task-based fMRI,
structural MRI and spectroscopy. The fellow will report
to PIs including Drs. Vilma Gabbay (primary mentor;
Mount Sinai School of Medicine), Emily Stern (Mount
Sinai School of Medicine), and Michael Milham (Child
Mind Institute). Responsibilities include collecting,
analyzing, and interpreting fMRI data along with
preparing manuscripts. The fellow will receive support
and mentorship in obtaining their own grant funding.
Applicants should
have a PhD in neuroscience, biomedical engineering,
computer science, psychology, psychiatry, or other
relevant disciplines. Applicants should also be
proficient in one or more neuroimaging analysis
packages (e.g., SPM, AFNI, FSL), scripting/programming
(e.g., Python, Matlab) and statistical analysis
(e.g., R, SPSS, SAS).