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Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required
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, and presentation skills (outreach) are helpful. Familiarity with process tracing and big data is a plus. Knowledge of linear models, analysis of variance, and data visualization strongly preferred
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threat mitigation; crash reconstruction; rail crashworthiness and safety; and crash data analysis, vehicle-to-infrastructure systems, and connected vehicle safety technologies. The research faculty
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. Current projects focus on a variety of topics in education policy, including teacher workforce, school finance, school choice programs, and career and technical education. Responsibilities include data
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Researcher 2 Hydrology & Water Quality
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Description General Notes This position will support activities for both STARR and CISR. The candidate will provide support with geological characterization of outcrops and subsurface data to tackle
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inflammatory diseases including diabetes, cardiovascular, and Alzheimer’s disease. Successful candidates will lead projects using multi-omics datasets from large sample sizes of disease relevant tissues/cells
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modeling, multilevel (random effects) modeling, and analysis of data from complex samples Experience with management and analysis of big data Experience with machine learning and related approaches (e.g
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and implement water management devices at research sites. Research Support: Assist with data collection, analysis, modeling, and report writing for funded projects. Extension/Outreach: Develop teaching
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design of innovative analytical and computational techniques to analyze,integrate and model multimodal data for the onset and progression of AMD . In doing so,the successful postdoctoral fellow will