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associated with a Doctoral degree in Neuroscience or an equivalent professional degree. Online Application Required Documents Curriculum Vita Name and Contact Information of References Letters of Interest
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information on our research, please visit: https://mandala.lab.uiowa.edu/ . Located in the heart of the Midwest and just 3.5 hours from Chicago, Iowa City is a beautiful, safe, and collegial university town
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integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and functional outcomes in
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knowledge of statistical and computational research methods (e.g., predictive/user modeling), cognition/affect tracking, measurement theory, analyzing high-frequency time series data, experience with
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are primarily investigating associations between neuroimaging data (diffusion and functional MRI, electrophysiology) and neuropsychological test performances before and after the surgical resections. There may
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Contact Information of References Letters of Interest Number of References: 3 To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact
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preliminary data and are primed to be taken across the finish line. This provides the opportunity for a highly motivated post-doctoral candidate to take intellectual ownership of projects at an early and
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below the Contact Information. Contact Information Contact:Mason S Garcia Cmed-Radiology Pappajohn Pavilion 140 Hawkins Drive 3984-B JPP Iowa City, IA 52242 Department URL: https://medicine.uiowa.edu
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Curriculum Vitae To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information. Contact Information Contact:Brittany Sonntag
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electromagnetic geophysics methods and geophysical field data collection. Participate in field campaigns, including data acquisition and processing. Assist with laboratory setup and instrumentation. Support class