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of their research projects, fellows in the Smith lab have the opportunity to work one on one with the PhD biostatistician associated with our laboratory to learn introductory machine learning methodology such as
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. The postdoctoral 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
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electromagnetic geophysics methods and geophysical field data collection. Participate in field campaigns, including data acquisition and processing. Assist with laboratory setup and instrumentation. Support class
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Curriculum Vitae • Transcripts of PhD work • Three letters of recommendation addressing scholarship, achievements, and research potential and commitment • A brief research proposal summarizing current research
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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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available on Postdoctoral Research Scholar positions at https://grad.uiowa.edu/postdoctoral-affairs . Education Requirement: PhD or MD. Degree in a field related to neuroscience preferred. Desirable
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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