620 computer-science-programming-languages-"UCL"-"UCL" positions at The University of Arizona
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), mechanical testing, or non-destructive evaluation of metals and alloys. Hands-on experience skillsets with finite element methods (ABAQUS), programming languages (Python, MATLAB, C++), experience in signal
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of Arizona and relocation services, please click here . Duties & Responsibilities Install, update, and troubleshoot instructional technology and computer systems in classrooms. Diagnose and repair A/V
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Sign In Create Profile Adjunct Instructor, Aerospace and Mechanical Engineering Tucson, AZ, United States | req24054 Apply Now Share Save Job Posted on: 10/7/2025 Back to Search Adjunct Instructor
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/ Location University of Arizona Health Sciences Address Tucson, AZ USA Position Highlights This Research Program Administration position will provide dedicated operational and administrative support for
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Economics. Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; sick leave and holidays; UA/ASU/NAU tuition reduction for the employee and
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Position Highlights The Research Speech-Language Pathology Assistant (SPLA) contributes to the research efforts of the Communication P.A.L.S. Lab in the Department of Speech, Language, and Hearing Sciences
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the application and admissions processes. Receive direction from the Associate Director, Graduate Recruitment. Collaborate with Graduate Recruitment and Admissions team members (program manager/directors
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, safety, etc. Advanced database and computer programming skills, including database management and coding in Python, R, etc. Strong interpersonal skills in working with both technical and non-technical
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Sign In Create Profile Research Assistant, Biomedical Engineering Tucson, AZ, United States | req23992 Apply Now Share Save Job Posted on: 9/24/2025 Back to Search Research Assistant, Biomedical
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interdisciplinary team. Excellent programming skills and proficiency in a programming language (e.g., C++, Python, MATLAB) and modern machine learning packages. In-depth theoretical and practical knowledge in