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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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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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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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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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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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-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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are also supported by funding from the NIH and NSF. The CompEpi group currently supports several CS PhD, Masters and undergraduate students. The post-doctoral scholar will have regular opportunities
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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