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. In particular we use the promiscuous pregnane X receptor (PXR) and constitutive androstane receptor (CAR) as models. PXR and CAR transcriptionally regulate cytochrome P450 3A4 (CYP3A4) and CYP3A5-drug
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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stratification dynamics. This person in this position will also assist with the development of a model focused on the production of methane by methanogens and degradation by methanotrophs. The postdoctoral
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-tuning DNA sequence/genomic/omic large language models (gLLMs) with their applications to genetics, e.g. in identifying causal genes for Alzheimer’s disease (AD). You will have access to state-of-the-art
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experimental and computational methods for integrated multi-omics studies. About the Role · Lead independent research projects investigating somatic mosaicism in various tissue types of human or mouse models
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evidenced by application materials. Previous experience with modeling of electrochemical systems, as evidenced by application materials. Contact Information to Applicants Trung Van Nguyen, cptvn@ku.edu , 785
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neuropathological severity. The Postdoctoral Research Associate will be mentored by Dr. Carlos Cruchaga and will focus on the identification and modification of circRNAs in in vitro models of Neurodegenerative
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computational modeling of behavior to identify the underlying circuit computations. Current projects in our laboratory emphasize task-structured behavior assays, including set shifting, reversal learning
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of circRNAs in in vitro models of Neurodegenerative Diseases. Towards this end, various cell lines combined with molecular, cellular, biochemical and pharmacological methods will be utilized to functionally
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Longitudinal Modeling Analysis techniques for school-based research data. Professional Skills . Acquire strategies to write grants and manage research projects. Develop methods and skills to effectively