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scholar will contribute to an NSF-funded project exploring a new semantic foundation for type classes and type families in Haskell. Their work will include formalizing the new approach in Lean, implementing
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position in MR Physics. This successful applicant will help with development of MR imaging methods to study tumor metabolism and response to therapy. The research in the MRRF is focused on the development
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imaging methods and metabolic function tests to assess airway epithelial function and neuronal health. This is a non-tenure track position, and the appointment length will coincide with available funding
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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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may be exercised over other research personnel, including research assistants, students, and other trainees. Education Requirement: • A PhD in Molecular or Cellular Biology, Genetics, Neuroscience
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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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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
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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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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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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