878 parallel-and-distributed-computing-"Meta"-"Meta" positions at University of Minnesota
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their field placements in the OED Education Program (OEDED) and the Multicultural Center for Academic Excellence (MCAE). The MSW Practicum Supervisor will work with the OED site supervisors from OEDED and MCAE
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opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible
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is distinct in being the first continuing nursing program on a university campus. We offer pre licensure baccalaureate (Twin Cities and Rochester campuses) and masters programs and doctoral (PhD and
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temporary, part-time position, between 10-14 hours per week, remote. Key Responsibilities Campus Engagement (75%) Lead the WAM Collective Program – Recruit, hire, train, and manage 5–8 undergraduate students
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Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply Applications must be submitted online. To be considered
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or equivalent program, certified as MVMA/MAVT technician. One year of veterinary technician experience. Ability to work independently with little or no supervision. Preferred Qualifications/Selection Criteria
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for promoting and ensuring teaching, learning, assessment and instructional program excellence in the School of Music (SOM). Duties include responsibility for managing, developing and implementing high-quality
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. Key Responsibilities: Clinical Experience Program Leadership: (40%) Develop, oversee, and maintain a comprehensive experiential clinical program that aligns with the latest industry standards and
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training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic