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on the development of mathematical and computational models of biological systems. This position is supported by an NIH Virtual Consortium for Translational/Transdisciplinary Environmental Research (ViCTER) grant, “In
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expanding the frontiers of knowledge. We invite you to join this dynamic community, where you will lead and engage in pioneering projects that redefine academic excellence. Our interdisciplinary approach
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. Our faculty are not just educators; they are trailblazers in their fields, consistently expanding the frontiers of knowledge. We invite you to join this dynamic community, where you will lead and engage
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://academicpersonnel.asu.edu/postdoc . The successful candidate will join a grant-funded project that explores how drivers’ license suspensions and other negative consequences of unpaid traffic tickets affect the financial
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an environment where innovative research flourishes. Our faculty are not just educators; they are trailblazers in their fields, consistently expanding the frontiers of knowledge. We invite you to join this dynamic
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. Our faculty are not just educators; they are trailblazers in their fields, consistently expanding the frontiers of knowledge. We invite you to join this dynamic community, where you will lead and engage
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an environment where innovative research flourishes. Our faculty are not just educators; they are trailblazers in their fields, consistently expanding the frontiers of knowledge. We invite you to join this dynamic
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are not just educators; they are trailblazers in their fields, consistently expanding the frontiers of knowledge. We invite you to join this dynamic community, where you will lead and engage in pioneering
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program include: Leisure and Quality of Life, Managing Leisure Enterprises, Community Recreation Systems, Outdoor Survival, Sports and Recreation for Youth Development, Public Lands Management, Wilderness
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performance. The salary is commensurate with experience. Applications are invited from individuals who are interested in applying experimental psychology and Bayesian computational modeling to understanding