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Field
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proficiency in at least one statistical software (e.g., R, Stata, SAS, Mplus) and desire and ability to learn additional software as needed (note: Dr. Kuiper regularly uses R, Stata, and Mplus simultaneously
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produce software implementations of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and
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leading venues; contributing documented software to the group library; and supporting supervision of student research projects. The postholder will have substantial ownership over one or more core research
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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud
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software [e.g., Xcalibur, Compound Discoverer, Skyline, TraceFinder]. Experience integrating multi-omics datasets (e.g., combining sequencing and metabolomics data). Experience with animal models of host
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mixed methods research on related topics, including surveys, interviews, focus groups is preferred, but not required. Must have expertise in using statistical software such as STATA, R, SAS or SPSS
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prototype plug-in so that LCLS/qRIXS analysis workflows can call the Legion/KDRSolvers-backed RIXS solver, establishing the “not an island” software pathway requested by the directorate. Explore
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responsibilities include i) lead developer of the core Python application, ii) major contributor to the project ecosystem design and implementation, iii) coordinator of working groups, and iv) major contributor
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quantitative data analysis software - Ability to lead meetings with project partners - Writing skills Research FieldEnvironmental science » Ecology Additional Information Website for additional job details https
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college or university in statistics, biostatistics, computer science or related field Experience in causal inference Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred