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the Languages, Cultures and Applied Linguistic department. Contribute to the further development of a cross-functional success team within the Student Academic Success Center. Core Responsibilities: The Assistant
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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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verbal and written communication skills Qualifications: Doctoral degree in engineering or related field Working knowledge of at least one programming language, such as C++, Python, etc.; Working knowledge
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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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The Infant Language and Learning Lab (PI: Dr. Erik Thiessen) invites applications for a full-time research assistant. The position will involve day-to-day direction of a project investigating
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Computer Science, Software Engineering, or a related field. Proficiency in a language such as Java, C++, or Python. Excellent teamwork, problem-solving, and communication skills. A combination of education and
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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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, natural language processing, AI engineering, digital forgery, large language models * Thrives in a multi-disciplinary environment * Strong communication skills Desired Experience: * Experience in