20 genetic-algorithm-computer-"https:" Postdoctoral research jobs at The University of Iowa
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Traces (ALT) lab at the Department of Psychological and Quantitative Foundations has an open Postdoctoral Scholar position for an individual with expertise in computational and quantitative methods
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research facilities, and high-performance computing resources. Education Requirement: - MBBS, MBBCh, MS, MD, PhD, or MD/PhD in Radiology, Medical Physics, Biomedical Engineering, Computer Science, or a
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Information Contact:John G Morris - garrett-morris@uiowa.edu Clas-Computer Science MacLean Hall 2 West Washington Street 14 MLH Iowa City, IA 52242-1419 Department URL: https://jgbm.github.io/
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scholar to join a multidisciplinary research program focused on understanding risk and resilience for psychiatric illness across development using multimodal human neuroscience approaches. The lab
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talent development, psychosocial functioning, twice-exceptionality, academic acceleration, and program evaluation. The Postdoctoral Scholar will enhance the research mission of the Belin-Blank Center by
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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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. We integrate fieldwork, computational modeling, and laboratory experiments to improve understanding of subsurface systems. More information about the lab can be found at: https://sites.google.com/view
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expenses, and computing resources. Depending on the candidate's background and interests, research activities may include: Theoretical studies of modifications to plasma wave physics arising from dark matter
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(such as language, memory, or attention). Work will be performed using a combination of EEG, intracranial recordings (DBS, sEEG), TMS, fMRI, EMG, brain lesions, computational modeling, and other methods
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of Internal Medicine by watching the video: https://medicine.uiowa.edu/internalmedicine/about-us/why-iowa Successful candidates will be required to self-disclose any misconduct history or pending research