Seeking a highly motivated and energetic post-doctoral fellow interested in applying multi-modal neuroimaging to improve diagnostic accuracy and study mechanisms that drive clinical and anatomic heterogeneity in Alzheimer’s disease, frontotemporal dementia
and related disorders. Imaging techniques acquired include structural MRI, functional connectivity (“resting-state”) MRI, DTI, amyloid PET and Tau PET.
Candidates must have an MD and/or PhD in Neuroscience related field. Strong quantitative skills and statistical knowledge are a pre-requisite. Previous neuroimaging research experience and programming knowledge are preferred but not required.
Interested candidates should send a CV and cover letter to the PI:
Gil Rabinovici, MD
Associate Professor of Neurology
UCSF Memory & Aging Center