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Department/Organization 214251 - Electrical and Computer Eng Rank Professor Position Summary The Department of Electrical and Computer Engineering (ECE) and the College of Engineering at
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intelligence, machine learning, big data and network analysis, computational and Bayesian methods, are encouraged to apply. Minimum Qualifications PhD in Statistics or closely related fields with documented
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research in a university environment. • Expertise in advanced geospatial topics such as web GIS (ArcGIS Online, Mapbox), cloud computing platforms (AWS, Google Cloud), or machine learning applications
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an electronic health record system in a previous learning or employed role. Final candidates must submit to and successfully pass a post-offer drug screen. Skills and Knowledge: Ability to perform patient care as
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including computer systems/software applications. Ability to learn the mail center's software systems within the first few weeks of employment. Ability to learn the University's mail sort scheme and mailstop
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Qualifications: Knowledge of kinetic modeling and/or machine learning interatomic potentials. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment
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. Oversees the Center’s online presence and communications, including digital learning resources, social media, newsletters, and outreach materials, while ensuring alignment with UA branding. Contributes
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). Ability to use various resources including computer systems/software applications. Ability to learn the mail center's software systems, including the point-of-sale system, package tracking and storage, and
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Instructor, Renewable Contract-Applied Informatics-School of Library & Information Sciences - 527657
Machine Learning and AI The successful candidate will contribute to the ongoing development and refinement of the Informatics curriculum, and may assist in the design of new undergraduate offerings
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, portable data collection devices, etc). Ability to use various resources including computer systems/software applications. Must have the ability to learn the mail center's software systems, including