Posted 01 May 2014
University of California, San Francisco
San Francisco, California, U.S.A.
Dr. Adam Boxer
The Boxer Lab at the UCSF Memory and Aging Center is seeking an enthusiastic and motivated postdoctoral fellow for data analysis of longitudinal neuroimaging and biomarker data in patients with neurodegenerative disease, especially tauopathies and frontotemporal lobar dementia (FTLD). Projects may include longitudinal comparisons of brain change in healthy older adults and neurodegenerative populations or statistical analysis of trends in biomarker levels. Familiarity with programming in MATLAB, Python, and R is desirable but not required.
The University of California, San Francisco, is an Equal Opportunity/Affirmative Action Employer committed to excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.
The successful candidate should have experience with multimodal MR imaging, including functional, resting state, DTI, and/or structural techniques as well as statistical acumen in analyzing behavioral and neuroimaging data. Excellent organization, project management, and communication skills are necessary. Demonstrated experience in scientific communication, including speaking and publishing, is desirable.
To apply, please send a CV, cover letter, and three references.