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modeling, computational complexity, or algorithm analysis. We are especially interested in candidates experienced in teaching with computational tools who can work alongside current faculty to incorporate
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, or algorithm analysis. We are especially interested in candidates experienced in teaching with computational tools who can work alongside current faculty to incorporate such ideas into the undergraduate math
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, statistics, formal methods, numerical methods, computational modeling, computational complexity, or algorithm analysis. We are especially interested in candidates experienced in teaching with computational
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algorithms and data structures. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). Ability to develop and implement AI models for business applications. Knowledge of cloud computing
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on algorithms, data structures, and programming languages like Python.) Working knowledge of generative AI techniques, such as GANs and VAEs is a plus. A minimum of two (2) years of full-time professional