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our Machine Shop/Engineering Design Lab, managing independent work, and providing teaching support to the students in classes held in this lab. These classes include MAE 321 and MAE 322. The lab is
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support for campus infrastructure systems, including Active Directory, username/password issues, storage, email, backup, encryption, and for the University's teaching and learning applications and tools
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advanced econometric and other statistical methods. The ability to write computer programs to manipulate information, devise programs for estimating econometric models, and create and manage an active
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management skills. Proactive, resourceful, and able to generate results according to defined deadlines Basic understanding of machine learning concepts and the critical role of high-quality data. Ability
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a full-time Research Specialist I or II to begin Summer/Fall 2025. The lab uses functional neuroimaging, behavioral techniques, and machine learning to study conversation, social cognition, and
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science, psychology, computer science, statistics and machine learning, linguistics, neuroscience and philosophy. If you are passionate about understanding human cognition, advancing AI research, working
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, below is what we're looking for: *Seven or more years of work experience or postgraduate study in artificial intelligence and machine learning, computer science or engineering, AI product policy, or other
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activities during their shift. They operate Computer Aided Dispatch (CAD) console equipped with multiple computer terminals, including 911 call handling, geographic information system (GIS) mapping, camera
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. Troubleshoot desktop/laptop computer security issues. Provide support for all standard productivity software (Microsoft Office - Access, Word, Excel, PowerPoint, Outlook; Photoshop; Acrobat; Microsoft Teams
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used in DA systems. Experience with machine learning is also welcome. Selected applicants will be expected to work in a collaborative environment, adhere to best software and data practices, write