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successfully transitioned multiple capabilities for real-time RF machine learning, automotive cybersecurity, and radar threat warning models. Validation of SDD products is accomplished in VTNSI’s
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multiple capabilities for real-time RF machine learning, automotive cybersecurity, and radar threat warning models. Validation of SDD products is accomplished in VTNSI’s state-of-the-art 5,000 sq. ft
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environments. Experience in managing and configuring GPU-enabled systems for deep learning tasks. o Network Administration: Strong understanding of networking concepts, including TCP/IP, routing protocols, VLANs
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help faculty and students across all disciplines get the most out of HPC and advanced computing tools. The Research Software Engineer, AI/ML builds and supports the software that makes AI and machine
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in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending
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. - Proficiency in Linux and Docker - Familiarity with GPU-based code development (e.g., CUDA). - Familiarity with AI/ML development concepts such as RL, RAG, MCP, Agentic AI, multi-modal learning, etc
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virtualization, mobile edge computing, cloud computing), Internet of Things, radio communication, machine learning, and understanding of computer network. Pay Band 4 Appointment Type Restricted Review Date 9/20
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, machine-learning methods, knowledge-graph and ontology-based scientific data infrastructures, and agentic workflows for autonomous hypothesis generation, mechanistic exploration, and design of catalytic
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transforms current AI for Science paradigms focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). They will
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify