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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The Department of Civil, Architectural & Environmental Engineering has a great opportunity for Construction
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the field of high performance computer architectures, with focus on data analytics, workflows, and high performance computing. The proposed work defining API interfaces for data access and software modules
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on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and applies platforms for state-of-the-art techniques
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system for prototyping neural networks, to the latest NVIDIA H100 architectures for limited projects, and the potential to scale algorithms (e.g., foundation models) on the fastest high-performance
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in the AI space. Expertise in advanced AI technologies, especially LLMS, transformer architecture, and Retrieval-Augmented Generation. Proficiency in using ML toolkits (e.g. PyTorch, MLX) Experience