The Herting Neuroimaging Laboratory within the Department of Preventive Medicine is in search of a postdoc fellow with expertise in big data, biostatistics/epidemiology, and/or advanced MRI analytic methods. The position involves contribution to preprocessing, analyses, and leadership in interpretation and writing of how environmental risk factors and individual differences relate to brain development across adolescence using multi-modal MRI datasets at both 3T and 7T, including those collected in-house (locally) and as part of larger national efforts, such as the Adolescent Brain Cognitive Development study.
Requirements â PhD in neuroscience, engineering, statistics, epidemiology, or related field â Strong computational/engineering background â Skilled in coding (i.e. R, Python, Bash, and/or MATLAB). Statistical knowledge of linear mixed effects (LME) and general additive modeling (GAM) highly desired.
Our lab has strong collaborations with the California Institute of Technology (Caltech), USCÂ Mark and Mary StevensÂ Neuroimaging and InformaticsÂ Institute, and Childrenâs Hospital Los Angeles. Postdoctoral fellows also have access to a strong career development programs for junior investigators through our SCEHSC Center and the SC-C
JOB QUALIFICATIONS: Minimum Education:Ph.D. or equivalent doctorate within previous five yearsMinimum Experience:0-1 yearMinimum Field of Expertise:Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.Preferred Field of Expertise:Publications in peer-reviewed journals in the same or related field.Skills: Other:AnalysisAssessment/evaluationCommunication -- written and oral skillsConceptualization and designOrganizationPlanningProblem identification and resolutionProject managementResearchStatistical analysisSkills: Machine/Equipment:CalculatorComputer network (department or school)Computer network (university)Computer peripheral equipmentFaxPersonal computerPhotocopierSupervises: Level:May oversee student, temporary and/or casual workers.Comments:A copy of the doctoral diploma or other certification that indicates that the terminal degree has been completed satisfactorily is required. If the doctoral candidate has not yet obtained a degree, he/she should provide evidence that a thesis has been approved together with a documented indication of the expected date of formal graduation. It is the responsibility of the faculty mentor to verify this documentation. The documentation is to be filed with the
Internal Number: REQ20089761
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