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Associates in Engineering Education Research. This is a unique opportunity to help shape a new, nationally visible Institute at a leading research university. The Institute advances theory-informed and
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Engineering Education Research. This is a unique opportunity to help shape a new, nationally visible Institute at a leading research university. The Institute advances theory-informed and practice-engaged
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on performance and the availability of funds. The successful candidate will be expected to have experience in general relativity theory. Experience in numerical relativity or computational physics is also required
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is also desirable. Background or interest in complex systems theory and applications, particularly in interdisciplinary social-ecological contexts, is strongly preferred. Commitment to diversity
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine, or a related science field. Candidates should demonstrate quantitative/qualitative research