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of mycotoxin prevalence in Indiana, identification of causal agents responsible for mycotoxin production and conducting research to develop environmentally sound, economically feasible, and sustainable mycotoxin
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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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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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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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profiling (Ribo-Seq), and mass spectrometry-based proteomics. Learn more about the lab’s research at www.ecsolab.com . To apply, please submit your CV and a 1-2-page cover letter that describes your previous
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Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity
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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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independently and as part of a team. Strong organizational skills and attention to detail. Experience teaching student and/or professional cohorts. Working knowledge of natural language processing, topic modeling
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filling this position will be expected to develop a highly visible applied research-based program including acquisition of external funding and development of innovative educational delivery to key
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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