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teams and external vendors. Duties include but are not limited to: Oversee Salesforce Marketing Cloud and work with internal and /external stakeholders in implementation of web-based technologies (i.e
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19 Dec 2025 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Environmental science Geosciences Researcher Profile First Stage Researcher (R1) Country
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, analytical thinking, initiative, consistency, responsibility. Additional experience: Experience with high-performance computing (HPC) and/or cloud solutions and orchestration technologies (e.g., OpenStack
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allocation, security protocols, integrity, security, and efficiency. Manage and maintain the Microsoft Azure Fabric environment, including deployment, monitoring, scaling, and troubleshooting of cloud-based
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faculty, staff, and students. For more about the school and its activities, see: http://comminfo.rutgers.edu . Posting Summary Rutgers, The State University of New Jersey, is seeking a Program Coordinator I
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Previous Job Job Title Research Computer Scientist Next Job Apply for Job Job ID 371377 Location Twin Cities Job Family Supplemental Employee Full/Part Time Part-Time Regular/Temporary Regular Job
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Server and Networking. - Linux/Unix/Red Hat Server and Networking. - Information Assurance and Cybersecurity. - Penetration testing - Ethical Hacking - Cloud Computing Preferred Qualifications: Create a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
research requires access to well-equipped laboratories and extensive computing capabilities; it also must be supported by comprehensive and accessible library collections. Again, in research at this advanced
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%) Design and develop Workday integrations for financial processes. Configure advanced integration solutions using Workday tools (EIBs, Studio, APIs, integration cloud platform). Apply version control and
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on of effective approaches. This specialist may be required to utilize the elasticity of the AWS Cloud for Big Data Intensive (e.g. Hadoop/Spark) compute infrastructure and parallel system environment