471 Environment uni jobs at Carnegie Mellon University in United-states in United States
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in an interesting and challenging work environment. You will contribute to the department by providing support by assisting the Distinctive Collections team with the processing and arranging
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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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analysis of relevant data, to understand and demonstrate the power of information technology, and to lead and implement change in managerial and policy contexts. We strive to create an inclusive environment
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the division grows, we are seeking an associate director, Alumni & Constituent Engagement. This is an exciting opportunity if you thrive in an interesting and fast-paced work environment. Reporting
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Coordinator of Community Standards and Integrity/Housefellow. This is an excellent opportunity if you thrive in an interesting and challenging work environment. You will contribute to the department by managing
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challenging work environment. You'll be aiding the team by assisting with the administrative duties within the department. Apply today! Core responsibilities will include: Track programs and supporting data
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and challenging work environment. You will contribute to the department by providing support by assisting across two courses in Critical Theory and Art History, as well as engage in occasional research
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organization and communication skills and working experience with modern Windows system administration tools and operating techniques in a mixed Windows & Linux environment. Are you interested in being part of a
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an interesting and challenging work environment. You will contribute to the department by providing management and operations support to the faculty leaders of K&L Gates and the Humanities Center. They will
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environments, econometrics, and data science • Thrives in a multi-disciplinary environment • Strong written and verbal communication skills Desired Experience: • Experience in risk quantification