-
settings, as well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building
-
resonance spectroscopy data or willingness to learn neuroimaging techniques; Ability to publish in peer-reviewed journals, with at least one first-author publication per year. Preferred Qualifications
-
independently. Experience with neuroimaging tools (e.g., fNIRS, EEG , fMRI) and research platforms (e.g., REDCap, Qualtrics). Equipment Utilized Microsoft Word, Excel, PowerPoint, Adobe; Cognitive
-
with neuroimaging and/or other large-scale biomedical or behavioral datasets is desirable. Ideal candidates will have a background in Neuroscience, Psychology, Neuropsychology, Psychiatry, Cognitive
-
in Older African Americans randomized controlled trial. The fellow will work within a multidisciplinary team integrating cognitive neuroscience, neuropsychology, genetics, neuroimaging, exercise