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clusters, cloud computing, or GPU acceleration. Strong mathematical background in linear algebra, probability, and statistics. Prior research experience with publications or preprints. The University
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(HPC) or GPU-based workloads preferred Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Strong proficiency with containerization (Docker), orchestration (Kubernetes), and
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-efficient designs, GPUs and HPC), Data Science/AI/Machine Learning (e.g., fundamentals, trust and explainability, LLMs, autonomous systems, computer vision), Security (e.g., fundamentals, hardware/software
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