39 Statistics positions at University of Nebraska–Lincoln in united States in United States
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Microsoft software, Zoom, and statistical software. Outstanding verbal, interpersonal, planning and writing skills required; the ability to work effectively and collaboratively with research teams
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Microsoft software, Zoom, and statistical software. Outstanding verbal, interpersonal, planning and writing skills required; the ability to work effectively and collaboratively with research teams
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Microsoft software, Zoom, and statistical software. Outstanding verbal, interpersonal, planning and writing skills required; the ability to work effectively and collaboratively with research teams
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Microsoft software, Zoom, and statistical software. Outstanding verbal, interpersonal, planning and writing skills required; the ability to work effectively and collaboratively with research teams
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Microsoft software, Zoom, and statistical software. Outstanding verbal, interpersonal, planning and writing skills required; the ability to work effectively and collaboratively with research teams
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statistics, etc. Communicate with prospective students and persons of influence through regular and consistent interaction via in-person visits, email, video conferencing and phone calls. Possess a
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publications, data management, and analytics. Preferred Qualifications Two (2) years of post-Ph.D. experience. Research experience in crop and pasture lands, coding and statistical packages, and data
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, transportation data science, connected and autonomous vehicles, smart infrastructure, logistics, and other areas to be determined. Perform statistical analysis, computer simulation, optimization, and other
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design and manufacturing processes. Ability to design and conduct statistically relevant experiments. Pre-Placement Driving Record Review Required No Physical Required No Commercial Driver’s License (CDL
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in geographic information systems, geography, natural resources or equivalent field. One year of experience in with GIS, statistical modeling (species distribution models – occurrence and abundance), R