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structured, goal-oriented thinking and clear communication capacity to familiarise yourself quickly with new topics creativity and openness to new approaches reliability and a high level of motivation a high
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related discipline, along with solid skills in computational modelling, statistics, or machine learning. An interest in probabilistic modelling, structural reliability, or certification processes is highly
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and reliable systems Apply for this job See advertisement About the position Position as PhD Research Fellow in Computer Science is available at Department of Informatics, University of Oslo
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of the University of Minnesota Twin Cities campus. Facilities Management works to provide a safe, reliable and welcoming campus in support of the University’s mission of teaching, research and outreach. FM’s
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: Advising Practice (40%) Lead the development and operationalization of new advising practices, policies, and structures coordinating advising across departments and the college as a whole, ensuring
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supports projects spanning AI, environmental science, HPC, and data management, helping stakeholders turn ideas into impactful results. The QA Analyst will play a key role in ensuring the reliability
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, proper field usage, and reliable triggers. Support communications tied to system integrations (e.g., Slate SIS, application milestones, decision release workflows). Monitor data health and troubleshoot
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research (40%). The employee will work with SAFL Associate Director for Engineering and Facilities, university faculty, SAFL technical staff, and researchers. We seek a reliable and motivated engineer who is
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combination of education and experience is required, preferably with prior lab experience. Must have strong organizational skills, good written and oral communication skills, and must be reliable; ability
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and optimizes the University’s on-premises and cloud infrastructure to ensure the secure, reliable, and efficient operation of enterprise storage, virtualization, and collaboration systems. This role is