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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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. Preferred Qualifications Applicant must be a strong writer and quantitatively skilled with experience using GIS tools and statistical software, ideally R, and could have a PhD in one of several fields
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, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical neuromodulation experiments, including open-loop and closed-loop stimulation paradigms, to test
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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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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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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