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editing). Familiarity with flow cytometry and data analysis using software such as GraphPad Prism, R, or Python. Excellent organizational, record‑keeping, and communication skills Equipment Utilized
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Qualifications Strong background in receptor signaling (insulin/IGF‑1 axis preferred). Experience with in vivo mouse models and mammalian cell culture. Proficiency in data analysis using statistical software (e.g
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be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the pathophysiology of epilepsy or seizure disorders using murine models and human
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carries out experiments using mouse and human brain material, cultured cells, high resolution fluorescence imaging and image analysis, biochemical, as well as molecular biology approaches. Operates and
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microbial genetics and cultivation, molecular cloning, protein expression and characterization, DNA and RNA purification and analysis, and protein-nucleic acid interactions is required. The candidate should
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the development and progression of chronic diseases; (b) strong statistical analysis skills, including but not limited to usage of bioinformatics tools or pipelines; and © experience working with human clinical
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Investigator, the Postdoctoral Associate(s) will be responsible for the performance and analysis of experiments focused on development and function of novel immune cells. Our research focuses on development and
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of the Principal Investigator, the Postdoctoral Associate will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of molecular mechanisms of the regulation
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science required. Consideration to interview will also be given to applicants who are in the process of completing their Ph.D. or M.D. degree in Biology, Immunology, Cell Biology or a relevant science
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on an NIH-funded project investigating relationships between physical fitness-related measures, Alzheimer’s disease biomarkers, and cognitive function in cognitively normal older adults. The Postdoctoral