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preferred. Prior work experience in public health, epidemiology, and/or biomedical research is desirable. Experience in mixed models, and experience with longitudinal data analysis, functional data analysis
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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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. ● Experience with human subject research. ● Facility with statistical analyses such as structural equation modeling, multilevel modeling, and longitudinal analysis ● Demonstrated ability to successfully manage a
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biomedical and mechanical engineers, biologists, and pharmacists. Expectations Candidates will be responsible for working with a unique transgenic mouse model that enables specific cardiomyocyte reprogramming
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of the Mississippi embayment), surface water hydrology and modeling, model coupling, and spatial/temporal data analysis. The successful candidate will work with Dr. Brian Waldron and CAESER faculty/staff on projects
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for working with both public health and/or environmental data/models, and experience working with an interdisciplinary team of researchers and stakeholders. This position is based at the Kansas Geological
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experiments. Develop reinforcement learning models to improve gate fidelity. Leverage CNM’s state-of-the-art facilities, including the nanofabrication cleanroom and the Quantum Matter and Device Lab’s dilution
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for pediatric diseases. Our research focuses on how genetic variants contribute to diseases during early development and on developing mechanism-driven therapeutics. While animal models have advanced our
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Demonstrated ability to conduct independent research in neuroscience Strong background in in vivo mouse models, mouse surgery and behavioral procedures, mouse handling and colony management, histology
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behavior, welfare, or nutrition research. Previous experience/publications involving HPLC pesticide residue analysis or avian models. Special Instructions To Applicants: Notice to Applicants: Please make