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, memory, hard drive, server, operating system, cloud storage, USB, etc.). • Ability to perform advanced troubleshooting on cloud-based, networked systems and office machinery, including coordinating between
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network across campus, data centers, and cloud interconnects. The role blends advanced network engineering with cybersecurity, emphasizing Palo Alto (PAN OS/Prisma Access) and Juniper (EX/QFX/SRX/Junos
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environments, parallel and distributed file systems, tiered storage strategies, and hybrid cloud integration. Strong communication skills across technical and non-technical audiences Strong understanding
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) courses from the legacy HealthStream platform to the new Oracle Fusion Cloud Learning, Development, and Redwood Experience environment. · Conduct detailed reviews of each transferred course
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areas of technology-cloud computing, cybersecurity, automation, programming and observability. You'll evaluate breakthrough technologies and implement robust infrastructure solutions that keep Lehigh
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, cleaning, maintenance, etc) with assistance from lab technicians Maintain accurate, organized, and detailed records and protocols on cloud storage that can be accessed and utilized by the PI and research
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
for large radiology datasets in HPC and cloud environments (e.g., SLURM, Kubernetes, AWS). Promote best practices in version control, testing, CI/CD, modular design and documentation. Provide technical
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be-spoke development, cloud-based platform (e.g Salesforce), website development, etc. Good understanding of IT Applications Implementation Methodology such as Iterative Waterfall or Agile approach
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. Experience in project coordination and change management. (Preferred) Exposure to data analysis using Python, R, or Geographic Information System (GIS) tools, and/or cloud computing solutions. More Information
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dictionary. Application/Integration Support (25%) Provide production support for ETL/ELT jobs, data pipelines, and cloud-based infrastructure. Troubleshoot issues related to data ingestion, transformation, and