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Qualifications: Experience with numerical modeling and/or data analytics with big data. Broad knowledge of hydrology. Experience in ML applications. Background Investigation Statement: Prior to hiring, the final
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. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a cover letter and curriculum vitae and include contact information for at least two
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office. Advanced verbal and written communication skills and the ability to present effectively to small and large groups in a university setting. Preferred Qualifications: PhD, JD, or master's degree in a
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visualization, geospatial analysis, and processing of large amounts of meteorological and remote sensing data. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a
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leadership. Position will be responsible for teaching four (4) courses per semester, including large lecture sections of introductory statistics. Sufficient knowledge of statistical software, such as Python, R
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and researching topics that have an impact on business, especially those in the transition from the era of data parsimony to the new one of “big data.” OM applies topics and tools from management