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generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: CU is an Equal
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Sessional Lecturer - CTL5704H - Special Topics in Teaching - Urban Education Curriculum and Pedagogy
praxis. Estimated TA support: No Estimated course enrolment: 25 Class schedule: Tuesday 17:00 - 20:00 Sessional dates of appointment: 2026-05-01 - 2026-06-30 Appointment percentage: 100 Salary: Minimum
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, presentations, and staff training. Seeks opportunities for professional development that will enhance job performance, including attending webinars, seminars, building networks within the University and with
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prevent cyber threats to Mason's business enterprise including network sensors, firewalls, endpoint protection, anti-virus, and security information and event management tools; Lead the Computer Security
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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networking testing equipment to diagnose computer hardware and troubleshoot network issues. Utilize Intune, Entra, MECM, Active Directory, DHCP, and Vulnerability Management tools to support the engineering
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Number req25477 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N. Freeway Drive, Tucson, AZ 85705 USA Position Highlights
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, Virology Posting Number req25479 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N. Freeway Dr, Tucson, AZ 85705 USA Position
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Vacancy ID P020891 Full-time/Part-time Permanent/Time-Limited Full-Time Permanent If time-limited, estimated duration of appointment Hours per week 40 Work Schedule 7:15AM – 4:15PM Work Location CHAPEL HILL
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classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research