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pipelines and cloud-based solutions for advanced analytics and reporting. Implements robust security and compliance measures to protect data integrity and privacy. Defines and maintains standard work
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development, cloud infrastructure, artificial intelligence, advanced computing, privacy-enhancing technologies, and research data platforms. Key programs include the NSF-funded SAFE-AI (Sandbox for Accelerated
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defence systems. Working on a major Defence-funded research contract, you will contribute to the development and evaluation of cutting-edge Platform-as-a-Service (PaaS) technologies, cloud infrastructure
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Abilities Knowledge of Microsoft 365, Qualtrics, Cloud Research and eRAP. Ability to conduct statistical analyses (e.g., JASP). Experience and Education: Background in Psychology Before applying, please note
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 3 hours ago
, cloud storage, sensitive/personally identifiable information (PII) data handling, and secure data enclaves. Manages and implements the Post-Approval Monitoring (PAM) Program to maintain ongoing adherence
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part of the University's Server and Storage team, providing backfill for the team. You will be providing backfill whilst the team focus on cloud modernisation work and project work. Our team is
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-analysis, and fine-mapping of genome-wide genetic data. Develop, maintain, and improve bioinformatics pipelines for high-throughput genomic analyses using high-performance computing and cloud-based
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, experience working with large-scale geospatial datasets and high-performance or cloud computing, and demonstrated expertise in advanced machine learning. Experience leading research projects, managing budgets
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for other OIT project managers. Additional Department Summary: The University of Alabama is embarking to transition its on-premises finance and HCM ERP systems to a modern cloud platform. This position is a
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The Role Our team is responsible for the university data centres and cloud; we are looking for a skilled technician who can self-manage their time and work on projects without micromanagement. AWS