22 electronic-"https:"-"https:"-"https:"-"Computer-Vision-Center" Postdoctoral positions at The University of Iowa
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://iihr.uiowa.edu/ ) and the Center for Health Effects of Environmental Contamination (CHEEC) ( https://cheec.uiowa.edu/ ) at the University of Iowa ( https://uiowa.edu/ ) seeks multiple highly motivated
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. Contact Information Contact: Sriram V Pemmaraju - [email protected] Clas-Computer Science MacLean Hall 2 West Washington Street 101G MLH Iowa City, IA 52242-1419 Department URL: https://cs.uiowa.edu/
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approaches. The lab integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and
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has a national and international reputation as a major research and teaching center and ranks highly among U.S. News “Best Graduate Schools” ( https://medicine.uiowa.edu/ui-carver-college-medicine
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MD in neuroscience, biomedical engineering, computer science, psychiatry, neurology, or a related field Required Qualifications: Strong experience in (i)EEG and/or fMRI data analysis. Strong record of
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Engineering, Computer Science, or a closely related field Required Qualifications: - Experience in spectral CT and uantitative imaging including radiomics, machine learning, deep learning or artificial
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center with a strong national reputation. Education Requirement: Ph.D in Virology, Microbiology, Immunology Required Qualifications: A strong background in viral immunology. Expertise in cellular
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, electrical and biomedical engineers and computer scientists and have available dedicated state-of-the-art computing and imaging facilities. A specific project involves the use of imaging to follow the
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hire two postdoctoral researchers. Join a team of investigators to uncover disease mechanisms and develop therapies for human vision disorders. The research spans foundational studies and translational
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career development of trainees. Lab website: https://glykys.lab.uiowa.edu Position Responsibilities Record, plot, analyze and interpret data independently using electrophysiological and imaging