16 phd-in-computer-vision-and-machine-learning Postdoctoral positions at The University of Iowa
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-on experience with CRISPR. • Proficiency in electrophysiology, calcium imaging, and/or multielectrode arrays. • Familiarity with machine learning, imaging analysis, and/or bioinformatics. Online Application
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of Medicine Department:Inst for Vision Research Salary Salary:$62,232.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: Title: Postdoctoral Scholar
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analysis are preferred. Successful candidates must demonstrate expertise in MR Physics, computer programming, critical scientific thinking, and creativity. Applicants will be expected to help develop novel
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the Association of Public Health Laboratories and is associated with the University of Iowa Department of Chemistry Radiochemistry Graduate Certificate Program. The postdoctoral scholar will leverage this support
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, 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. About the Wessel
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assimilation and machine-learning techniques, (b) process understanding of the neighborhood risk of heat waves and fires associated with the change of weather pattern, and (c) novel algorithm development
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record, and available funding. Education Requirement: A PhD degree (or about to complete) in machine learning, or a closely related field, is required. Required Qualifications: Practical experience in
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opportunities, outdoor recreation and Big Ten sporting events. Learn more about Iowa City and the Department of Internal Medicine by watching the video: https://medicine.uiowa.edu/internalmedicine/about-us/why
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College of Public Health seeks a highly qualified and motivated scholar to join a research program in the areas of cancer prevention and control. The initial appointment is a full-time postdoctoral research
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Department. The position will mix basic machine learning research with applied work in clinical decision support (risk assessment, prognosis, treatment planning, etc.), in collaboration with scholars and