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play a key role in ongoing clinical trial on exercise research and developing studies investigating the interplay between longitudinal cognitive outcomes, neuroimaging and vascular risk factors using US
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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have experience working with human subjects. Experience in multimodal data integration and statistical analysis is required. Experience with neuroimaging and/or other large-scale biomedical or behavioral
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have experience working with human subjects. Experience in multimodal data integration and statistical analysis is required. Experience with neuroimaging and/or other large-scale biomedical or behavioral
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have experience working with human subjects. Experience in multimodal data integration and statistical analysis is required. Experience with neuroimaging and/or other large-scale biomedical or behavioral
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, prioritize tasks to meet deadlines, and work effectively in a collaborative environment. Highly motivated, passionate about science, and able to learn independently. Experience with neuroimaging tools (e.g
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controlled trial. The fellow will work within a multidisciplinary team integrating cognitive neuroscience, neuropsychology, genetics, neuroimaging, exercise science, public health, sleep research, and