8 model-predictive-control Postdoctoral positions at Missouri University of Science and Technology
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studies on scaffolds and in vivo testing in disease models; maintaining accurate and organized experimental records; presenting findings at national and international conferences; preparing manuscripts
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studies on scaffolds and in vivo testing in disease models; maintaining accurate and organized experimental records; presenting findings at national and international conferences; preparing manuscripts
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affect farmers' and ranchers' profitability and resilience. We invite candidates passionate about economic modeling, policy analysis in U.S. agriculture, and rural financial resilience. This position
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transcriptomic trajectories and predicting gene networks. · Conduct comparative -omics analyses between crop species. · Develop innovative approaches to integrate multi-omic datasets
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the opportunities not only to study the immune response in animal models but also to translate the discovery for diagnosis and biomarker identification by studying human cancer patient clinical trial
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genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts
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approaches to multi-level data analysis and structural equation modeling, as well as familiarity with relevant computer packages (SPSS, R, etc) is required. Strong writing skills are important as
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techniques, molecular genetics, immunology, and animal models, particularly in cattle and other animal species. The candidate will play an essential role in advancing our understanding of the molecular