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Field
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-tolerant distributed systems. Define networking, compute, storage, and security requirements and patterns. Make architectural tradeoffs to manage cloud costs. Evaluate and recommend cloud services. Create
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part of the Infrastructure and Data Services (IDS) and provides leadership and oversight for the Institute’s enterprise data platforms and academic computing systems. This position is responsible
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2026 - 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Posting Description IT/OPERATIONS SUPPORT SPECIALIST, Credit Union, provides advanced technical support for MIT Federal Credit Union's (MIT FCU) computing environment, ensuring the security
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2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Contribuir al modelado
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
provisions in technology-related agreements, including Software-as-a-Service (SaaS), software licensing agreements, cloud service agreements, software development agreements, non-disclosure and confidentiality
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the research method. Privacy-preserving computation outsourcing allows users to outsource computation tasks to a cloud server without revealing to the server anything about the user data or even what kind
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, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine
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to the workshops and conference programme through which the platform reaches the wider research community. The successful candidate will hold an advanced degree in Computer Science, Engineering, Statistics or a
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support research faculty, post-docs, and graduate students in running workloads in on-premise HPC environments, national research computing resources, and cloud environments; leveraging high-speed research