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Post-Doctoral Fellow

Employer
University of Maryland, Baltimore
Location
Maryland, United States
Salary
Salary Not Specified
Date posted
Aug 18, 2020


We are seeking a highly motivated postdoctoral fellows in the field of imaging-genetics. The ideal candidate is expected to develop and apply statistical methods to understand the patterns of neuroimaging-genetics for brain diseases with high heritability. The main research areas will include: (1) multi-modal imaging data analysis; (2) GWAS; (3) genetics-imaging-brain disorder mediation analysis; and (4) graph based deep learning to explain phenotypic variance. The candidates will be supported by a strong collaborative team who are world-known experts in multimodal brain imaging and genetics for neuropsychiatric research and will provide access to the large -sample imaging-genetics data (both preprocessed and original) from the consortiums including ENIGMA, HCP, and UK Biobank. The position will be held in the University of Maryland School of Medicine, Department of Psychiatry.

Salary is commensurate with qualifications and will be equal to or exceed NIH post-doctoral stipends. Benefits will be in accordance with the University of Maryland' standard post-doctoral benefits.

Please email a Curriculum Vitae and contact information of two (2) references to: Dr. Shuo Chen at: shuochen@som.umaryland.edu:

UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.

Qualifications :

Doctoral degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, computer science, mathematics or physics. Interest in imaging and/or genetic data analysis. Strong computational skills, (proficient in one of the programming languages R, Matlab and Python and experience with the high performance cluster)

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