102 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at University of Connecticut
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JOB SUMMARY The University of Connecticut, Information Technology Services (ITS), is seeking a highly technical and self-motivated Desktop Support Technician (Computer Support Specialist 2
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Buildings and Grounds Patrol Officer position at the UConn Avery Point Campus. To view the posting and apply for the Buildings and Grounds Patrol Officer position at the UConn Avery Point Campus, visit https
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of the pay plan. Link to Maintenance Supervisor 1 – General Job Specification: https://www.jobapscloud.com/CT/specs/classspecdisplay.asp?ClassNumber=5574TC&R1=&R3= INTRODUCTION UConn’s Facilities Operations
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, please visit https://hr.uconn.edu/health-benefits/ and explore the sections under the Benefits & Leaves and Engagement & Learning headers. Other rights, terms, and conditions of employment are contained
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. Assist faculty with the development, testing, and refinement of laboratory experiments and instructional activities to ensure alignment with course learning objectives. Monitor laboratory sessions
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at UConn, and a highly desirable work environment. For additional information regarding benefits, visit: https://hr.uconn.edu/employee-benefits-overview/ . Salary will be commensurate with experience and
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support for student success have enabled the University to become extraordinarily selective. DUTIES AND RESPONSIBILITIES The successful candidate will teach introductory and organic chemistry lectures and
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visit https://hr.uconn.edu/health-benefits/ and explore the sections under the Benefits & Leaves and Engagement & Learning headers. Other rights, terms, and conditions of employment are contained in
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campus beginning August 23, 2026. This position will teach seven undergraduate courses during the academic year, using a 4/3 or 3/4 semester load format. Founded in 1881, UConn is a Land Grant and Sea
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participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant