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. Additional Information University Benefit Highlights: - Insurance benefits , including health, dental, vision, and life - Retirement and supplemental retirement planning options - Tuition waiver benefits
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California State University, San Bernardino | San Bernardino, California | United States | 8 days ago
computer (MDC) and radio, acknowledge transmissions when called, keep their status updated and handle calls appropriately and efficiently in accordance with Department Policy, Guidelines and the law. The
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insurance plans (Medical, Dental, Vision) Generous Retirement Plan – 10.12% annual compensation contribution (Eligible after 1 year of service and age 26), no match or vesting required! Life and Disability
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of the supervisor. Equipment Operated: Computer and all other standard office equipment. Work Schedule: Typically, Monday through Friday. Potential for remote work. Supervision Exercised: May exercise supervision
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on improving patient care and the lives of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only ): Health: Medical, Dental and Vision plans available for qualifying
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administration. This role requires proficiency with computer information systems, software, and databases, as well as the ability to interpret and apply complex policies and regulations. The successful candidate
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economy each year. We invest in our employees: Vacation and sick leave pay Medical, dental, and vision insurance No-cost life insurance Employee Assistance Program Exclusive staff discounts Continuous
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Jan-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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’. Palaeoverse (https://palaeoverse.org/ ) is an organisation aiming to unite the palaeontological community through shared resources, agreed standards, and a collective commitment to improving reproducibility in
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-based ecosystem modeling, MRV/CDR, nature-based solutions, or food–energy–water systems. Experience with machine learning, remote sensing, or near–real-time environmental data systems. Experience