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computing or big data architectures. Spatial enabled database (PostgreSQL with PostGIS) and performing spatial data queries. Software development best practices including, but not limited to: Agile
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Qualifications: Background understanding of deep learning, including modern deep learning architectures such as large language models (LLMs), Vision Transformers (ViT), and diffusion models. Experience with
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, services, and computing with a focus on deploying real-time data architectures, designing hybrid cloud systems, and programming scalable applications for the next generation of geospatial science. As part of
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to justify recommendations, support purchasing efforts and aid management in making infrastructure design and architecture decisions. Manage capacity and performance of the network platforms, ensuring
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business continuity architecture. Monitor and maintain multiple environments based on client requirements. Continuous Improvement: Provide continuously improving sets of software and systems engineering
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Management Framework, and NIST Cybersecurity Framework (CSF). Knowledge of Enterprise Networking architecture and interaction with other systems. Knowledge of secure operations, best practice, and system
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physics modeling and simulation through novel methods and algorithm design for CPU and GPU architectures Interact effectively across organization structures with staff scientists and engineers and be
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years of relevant vulnerability remediation experience. CISSP, GCIH, or equivalent credential. Solid understanding of security architecture, policies, and security capabilities of major operating systems
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for this position (H1B, F1, OPT, H4, J1, etc.). Overview: We are hiring a Microsoft 365 Engineer to focus on all aspects of Microsoft 365 Administration architecture and provides day-to-day administration and support
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needs. The Section’s staff develop architecture, design, and deployment requirements for the next generation of leadership-class computing and data systems, design and develop workflows and middleware