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the Colleges of Medicine and Engineering. Applicants must have a PhD degree in Biomedical Engineering, Neuroscience, Biology, Physics, Medical Physics, or a related discipline. In addition, applicants must be
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with the attributes listed in the requirements section are strongly encouraged to apply. Education Requirement: PhD or equivalent in psychology, neuroscience, cognitive science, biomedical engineering
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can demonstrate that PhD degree requirements have been met, but that the degree will not be officially conferred until a later date, the applicant may be considered to meet this requirement. Required
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provide a related release and will be subject to a criminal background and credential check. Education Requirement: Candidates must have a PhD degree or equivalent. Required Qualifications: Candidates must
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depending on the fellow’s performance as it relates to their initiative, support of the lab, their publication record, and available funding. Education Requirement: Candidates with a PhD degree (or about to
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that the University of Iowa and the local area provide can be found at https://worklife.uiowa.edu/. Education Requirement: • PhD in epidemiology, public health or a related field. Required Qualifications: • Strong
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experience for publishing impactful papers. Assisting with grant application. Education Requirement: PhD and/or MD degree in Neuroscience, Computer Science, Electrical/Biomedical Engineering, Psychology
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-howes@uiowa.edu. Education Requirement: The successful applicant must have a PhD in Physics or a closely related field, awarded by the position start date. If the candidate can demonstrate that PhD degree
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clinicians in the colleges of medicine, nursing, and pharmacy. Ultimately, the person in this position will contribute to the translation of machine learning technology into improved, personalized clinical
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basic science. Independent and creative ideas and approaches are highly encouraged. Education Requirement: We welcome applicants with varied backgrounds. Candidates must have completed a PhD in audiology