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Engineering, and not for a specific vacancy. Applicants will compose a pool for future needs as they arise in the department. Qualifications Required qualifications: PhD or equivalent terminal degree in
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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degree -Prior course work in computer analytics and advanced mathematics -Programming experience preferred: SAS, R, STATA and Python -Eligibility for certification using restricted CDC data sets Preferred
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with emphasis on precision and timelines of execution. ● Has experience in working in an academic setting. ● Has ability for independent decision-making. ● Demonstrates strong computer expertise in a
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technologies. The courses are INET 4011 (Network Administration) and INET 4041 (Emerging Technologies). This role involves integrating Cisco learning platforms and labs into the University’s Canvas LMS, with
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diverse and purpose-driven campus community, we value human potential and the significance of every person, empowering individual learning and development so that students, staff, faculty and community
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conducting clinical or preclinical proof-of-concept studies Preferred: Experience in physiological signal processing and the application of machine learning to biomedical data Background in computational
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assignments such as bike patrol or motorcycle patrol. ● This job may be designated as essential. ● 50% - Patrol assigned area on foot, bicycle, motorcycle, or patrol car while interacting with the community and
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Previous Job Job Title Non-Exempt Temporary or Casual - Space Physics Computer Analysis (Dombeck) Next Job Apply for Job Job ID 368597 Location Twin Cities Job Family Supplemental Employee Full/Part
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, interpret, and carefully follow experimental protocols. Basic computer skills (Excel, Word, PowerPoint) with willingness to learn advanced software related to specific research activities. Experience