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techniques (e.g., K-means, SVM, neural networks), data visualization, natural language processing, AI engineering, digital forgery, large language models • Thrives in a multi-disciplinary environment
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The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial
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Established out of a partnership between Carnegie Mellon University (CMU) and the Government of Rwanda, CMU-Africa is addressing the critical shortage of high-quality engineering talent required
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* Expertise in one or more of the following: machine learning techniques (e.g., K-means, SVM, neural networks), data visualization, natural language processing, AI engineering, digital forgery, large language
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of effectiveness for enabling or automating engineering activities. • Understanding of generative AI technologies, particularly Large Language Models and the use of prompt engineering to increase
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content for completeness, accuracy, and correct language usage; detail focused, provides final review, and edit of content prior to publishing; Publish approved content in campaigns. Author/Ghostwrite
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, natural language processing, AI engineering, digital forgery, large language models * Thrives in a multi-disciplinary environment * Strong communication skills Desired Experience: * Experience in
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, AI engineering, digital forgery, large language models • Thrives in a multi-disciplinary environment • Strong communication skills Desired Experience: • Experience in predictive modeling, data
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, AI engineering, digital forgery, large language models • Thrives in a multi-disciplinary environment • Strong communication skills Desired Experience: • Experience in predictive modeling, data
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outstanding interdisciplinary applied research. The Department is also widely recognized for advancing the teaching of Statistics and Data Science and for the excellence of our undergraduate program, with a