13 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at The University of Iowa
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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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Iowa using Iowa Cancer Registry data and other sources • Collaborate with biostatisticians on modeling initiatives to identify drivers of cancer trends in Iowa • Present research findings at national
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to care, and 2) the award-winning Business Analytics Department at Tippie College of Business, which specializes in machine learning, data science, and mathematical optimization, among other topics
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to Sriram V Pemmaraju at sriram-pemmaraju@uiowa.edu . Education Requirement: A PhD or equivalent in Computer Science (CS) or related fields such as applied mathematics, statistics, or operations research is
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to collaborate with other CLC members, as well as participating in joint seminars and other activities. Education Requirement: A PhD in computer science or a closely related field, with a strong background in
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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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an important role in a multi-disciplinary group that is both rigorous and collaborative and will have exposure to the development of novel mouse models for both mechanistic and therapeutic studies. This position
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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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analytics in the areas of health care, social issues, text, and social media, and faculty members have developed key methodologies in data mining, social-network analysis and mathematical optimization