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applications. Assist in the development, implementation, and maintenance of relevant databases or data warehouse. Develop prototypes for cloud portals and visualization tools; programs for the analysis of data
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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, studio and on-location lighting, and professional photography equipment. · Advanced skills in Adobe Creative Cloud, particularly Lightroom and Photoshop. · Demonstrated ability to manage multiple projects
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. TCP/IP, packet crafting, and network attacks) Familiarity with AI, cloud security, container exploitation, and IoT hacking Preferred Qualifications & Experience Post-secondary credentials in
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, Salesforce, PERIS, PRISM/TABLEAU, Marketing Cloud, Forms Assembly, Concur, and/or PittWorx Physical Effort Duties are primarily sedentary. Must be able to use a computer at a desk or similar workstation, and
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collaborators. These data are stored on a mixture of cloud platforms (e.g., AWS), local high-performance clusters, and protected research environments (e.g., Genomic England). The postholder will work closely
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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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during the transition period. Gain exposure to Workday integration frameworks, reporting tools, and cloud-based architecture through training and project collaboration. Technical Analysis, Documentation
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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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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