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, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge
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performance computing and cloud platforms to realise collaborators' data science and AI research at scale. A4 Knowledge of software development practices for research including collaborative environments with
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of HPC and Cloud systems. Strong analytical and computational skills. Strong project and team management skills. Ability to cultivate and maintain professional working relationships. Ability to multi-task
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policies Implement metadata tagging and dataset documentation Oversee on premise and cloud data storage/compute chargeback cost allocations Interface with Fred Hutch Scientific Computing and IT Ensure
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other duties, as assigned. The full job description is available here: https://acrobat.adobe.com/id/urn:aaid:sc:VA6C2:40ff42f3-0fb1-480f-a67b-9c772edfe63f Job Requirements REQUIRED: Bachelor’s degree in
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the Enrollment Office to streamline integration of enrollment technologies with enterprise systems (LMS, SIS, ERP, Office 365) Manage integrations between enterprise systems and cloud-based platforms using REST
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Feb-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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in Computer Science, Information Systems, Data Science, Engineering, or a combination of degree and relevant work experience. 4-5 years of hands-on experience in data architecture, data modeling, data
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systems. Our work spans Michigan Online infrastructure, AV systems design, IT support, media asset management, cloud storage, cybersecurity, and disaster recovery planning. We collaborate closely with
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services