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. Proficient with scientific computing and data-analysis software; experience with MATLAB, Python, R, or related platforms is strongly preferred. Experience with intracranial EEG (iEEG/ECoG/SEEG) or multichannel
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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of synaptic transmission in mammalian brain and human neurons derived from human tissue. In addition, the postdoc will perform molecular, cellular and/or electro-physiological experiments. The Postdoc will
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. Experience with data analysis software (e.g., SPSS, R, NVivo) is highly desirable. Evidence of scholarly productivity, including publications in peer-reviewed journals. Strong written and verbal communication
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exploring novel immune cells and the mechanisms of human health and disease. In addition, the Postdoc(s) will participate in lab meetings, research in progress seminars, and presentations at conferences
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research on health outcomes and environmental data. Experience in qualitative research or community engagement. Equipment Utilized Computer literate with proficiency in statistical and analytical software
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the Postdoctoral Associate or by others in the research group, by collaborators in other groups or from publicly available datasets. The project may also involve use and development of software programs for analysis
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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