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to leverage these for decarbonization strategies o Fluency in task automation, data cleaning, and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and
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related area. Demonstrated research experience with large language models, generative AI, agentic AI, or related foundation model technologies. Strong programming skills in Python and experience with modern
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, or a related quantitative field Additional Qualifications · Exceptional programming and analytical skills (including R, Python, and SAS or Stata) · Demonstrated expertise in analysis of claims data
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Strong programming skills (e.g., C/C++, Python, MATLAB) and familiarity with scientific software development best practices. Evidence of scholarly productivity and effective collaboration in
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fluorescent imaging is helpful. Being proficient in Python, R, and/or command line applications is encouraged. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work
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other multi-omics datasets to identify biomarkers and mechanisms of therapeutic response. Develop computational workflows for spatial biology and imaging data analysis using R, Python, or related tools
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Required Working knowledge of at least one programming language, such as C++, Python, etc.; Working knowledge of Dynamic Traffic Assignment (DTA) and large-scale network simulation Have a good understanding
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, epidemiology or computer engineering discipline Strong software skills in at least one of the following: SAS (including macros and SQL), R, Python Experience managing large databases (preferably healthcare data
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human omics (preferably related to neurodegeneration) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance
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, or livestock waste systems. Experience with data analysis, modeling (e. g., ammonia emissions or air quality models), and statistical software (R, SAS, Python, etc.). Demonstrated ability to conduct independent