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program connecting complex carbohydrate structural analysis with application. The successful candidate will become an integral member of the Whistler Center and the Department of Food Science, contributing
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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both the Institute and AFRL, advancing the science of innovation through research, collaboration, and workforce development. The initial fiscal year appointment is for one year with the possibility
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peer-reviewed publications Preferred Qualification Familiar with various chemical analyses and characterization instruments Experience in process modeling using Aspen or other software and TEA analysis
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. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
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tools in heat and mass transfer, microfluidics, thermodynamics, bioengineering, micro/nanotechnology, and computational modeling. We are passionate about developing novel translational platform
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or worsening structural and clinical features and identify risk factors for decline among severely affected children with CZS. Dr. Kelleher’s research uses telehealth-based methods to assess early development
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aerospace. This search seeks candidates who will make advances and fundamental contributions to AIDA3’s pillars (a) and (b) and to AAE’s themes (i), (iii), and (iv). Education Successful candidates must hold