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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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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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Builder, and community-scale building energy tools such as UrbanOpt; advanced experience with regulatory economics modeling software may be substituted o Strong quantitative skills, with the ability
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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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Required Knowledge, Skills, and Abilities The individual must have effective skills in oral and written communication, teamwork, and problem-solving, and be adaptable to changes in technological and
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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