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, and model evaluation methods. Minimum of two years' experience testing, maintaining, or launching software products and minimum of one year of experience with software design and architecture
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(Python and R) to help build and refine the evidence synthesis engine, while leading quantitative analyses and evaluations of its performance. This is not a lead-developer role: software architecture and
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HRER2026/357-222 Perfil R1 para desarrollo de algoritmos de IA / R1 profile to develop AI algorithms
architectures (microservices), container software knowledge (Docker, Kubernetes). Specific Requirements Se requerirá la participación activa en reuniones de consorcio, así como la redacción de entregables
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campus computing systems, software environments, and application integrations supporting faculty, staff, and institutional operations. This position serves as Tier 2 technical support within CSS, owns
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California State University, San Bernardino | San Bernardino, California | United States | 1 day ago
resolves hardware, software, and connectivity issues of moderate scope and complexity; supports desktop and endpoint management; and provides consultative guidance on technology procurement, deployment, and
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GPUs (e.g., B200, RTX 6000 Blackwell Pro, H200) and CPU architectures that, even if they increase complexity, generate the kinds of problems we love! This role in our Operations Team provides support for
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, such as programming, documentation, and vulnerability detection, their adoption for other tasks such as software architecture design, or safety and hazard analysis, is still limited. The objective
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, enterprise architecture or data engineering. B3 Knowledge of modern software development practices and frameworks, including Agile delivery methodologies, DevOps principles, continuous integration and
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are involved. Runtime models (e.g., behavior trees or state machines) will be used to support adaptive coordination and increase the flexibility of coordination mechanisms. You will design software architecture
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to the implementation and characterisation of AI/ML algorithms for 6G integrated sensing and communications systems, with particular emphasis on embedded platforms, digital processing architectures, efficient