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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
. Efforts will focus on implementing predictive and analytic models of infectious disease, deploying these models in response to disease threats, and implementing accessible data displays on web-based
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0386 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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. Understanding what variation persists, how populations evolve, and why responses differ among populations is important both for explaining diversity in nature and for predicting the evolutionary consequences
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with predictable, consistent, transparent, and efficient regulatory pathways, and assuring consumer confidence in devices marketed in the U.S. Research Project: This project involves the systematic
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neural networks) to predict materials properties (e.g. ionic conductivity, stability). Communicate and present findings in team meetings, research fairs conferences (with support from the professor
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 1 day ago
Job Code: 15-2026 Job Offer from September 24, 2026 The Max Planck Institute for Nuclear Physics is one of 85 research institutes of the Max Planck Society for the Advancement of Science e.V. (MPG
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the requirements set forth in CSU Executive Order 1083 as a condition of employment. This position may be a "designated position" in the California State University's Conflict of Interest Code. The successful
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condition of employment. This position may be a "designated position" in the California State University's Conflict of Interest Code. The successful candidate accepting this position may be required to file
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to, inference and statistical analysis of univariate and multivariate data using both parametric and nonparametric approaches, statistical modelling and predictive methods, as well as the development
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-pulse laser micromachining facilities to develop crack-free laser texturing strategies for ceramic materials. Establish predictive models linking laser processing conditions to feature geometry and crack