256 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of New Mexico
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or Term are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details. The University of New Mexico is committed to hiring and retaining a diverse
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or availability. Positions posted with a Staff Type of Regular or Term are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details
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workers’ compensation, property, and casualty claims, and Return to Work (RTW) program. Working under minimal supervision, these roles ensure effective claims management while maintaining compliance with
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, assignment development, grading assignments, reporting of grades, and assessment of student learning as outlined by the Program Coordinator. Strong preference is given to candidates who reside in New Mexico
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with students, faculty, and staff. Additional Requirements Campus Main - Albuquerque, NM Department RLSH Res Ed Program (215F0) Employment Type Staff Staff Type Term - Full-Time Term End Date 06/30/2028
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individual to work as a member of the SoE Dean's Research Support Office (RSO) to build a strong, competitive research program as part of the Faculty Research Development Network. The successful candidate will
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responsibilities include site investigative file maintenance, reporting of protocol of safety information to the institutional review board (IRB) as needed and regular communication with the research team and
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are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details. The University of New Mexico is committed to hiring and retaining a diverse workforce. We are
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experience matches the position as described above; including any Preferred Qualifications. Positions posted with a Staff Type of Regular or Term are eligible for the Veteran Preference Program. See the
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, including Linux command-line workflows, secure data transfer, job scheduling, and resource-aware computation for large datasets. · Maintain data integrity and provenance by validating inputs/metadata