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. Postdocs will be expected to carry out computational research, develop novel AI and NLP methods, analyze data, and disseminate their findings, software, and data to the biomedical community. The postdoc will
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will work closely with Drs. Audrey Hendricks and Ryan Layer as well as grad students, postdocs, and other collaborators to develop and implement statistical and machine learning methods, software
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) software application primarily supported by the UIS eRA team and the Grants suite of modules from PeopleSoft Financials and Supply Chain system supported primarily by the UIS Grants team. The Principal
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vacation leave. Qualifications: Minimum Qualifications: Minimum Requirements: § PhD/ ScD from an accredited college or university in statistics, biostatistics, or related field at the start of the postdoc
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in causal inference ● Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred Qualifications: ● Experience with development of R packages or other
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communication skills · The ability to work independently within the research lab on assigned projects. · Computer software, equipment operation, or research technical skills How to Apply: For full