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Engineering or related fields is preferred. Demonstrate ability to teach at the university level. Prior teaching experience is highly preferred. Certifications/Licenses Required Knowledge, Skills, and Abilities
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). The successful candidate will teach on multiple campuses, initially splitting their time between the Dahlonega, Cumming and online courses. Review of applications will begin immediately and continue until
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candidate must have a reliable and insured automobile. Have effective written and verbal communication skills which are essential for interactions with families, colleagues, and stakeholders. Along with
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Description: The S.I. Newhouse School of Public Communications in Syracuse University is looking for an individual(s) to teach one/multiple sections of VIS 207 Intro to Graphic Design during the Fall 2025
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, behavioral economics, and machine learning, to help policymakers identify and generate evidence on innovative approaches and policy solutions to their most pressing environmental and energy challenges. Job
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. Aptitude for learning new software applications and technologies Understanding of user-centered design and usability. Strong prioritization and time management skills to balance multiple demands
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, manage multiple tasks and meet competing deadlines by using judgement and initiative. High proficiency of computer literacy, working with a range of computer systems and applications, including Microsoft
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The Chicago School of Professional Psychology | Chicago, Illinois | United States | about 6 hours ago
environment. He/she may serve as the first point of contact for students, visitors, staff, and faculty and assist multiple departments. Position responsibilities include, but are not limited to: Greeting
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of machine learning models for object detection, classification, and outlier detection across multiple sensor modalities. Depending on previous experience, provide scientific oversight to volunteers, students
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ensure proper operation and maintenance of equipment. Job Requirements: Have relevant competence in the areas of Deep Learning/Computer Vision Have a Bachelor/master’s degree in computer science