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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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), institutional policies, and funding agency rules Physical Requirements Should be able to tolerate an environment that involves long periods of sitting in front of a computer or in meetings Work Conditions
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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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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
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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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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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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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. 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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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and
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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