438 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" uni jobs at Harvard University
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Divinity School seeks an adjunct instructor/lecturer in Intermediate Coptic (2nd year of translation study) to teach an eight-week intensive course on intermediate Coptic from June 15, 2026 to August 6, 2026
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initiatives Demonstrated ability to work effectively in a collaborative and/or team environment. A commitment to belonging, community, and connection. Within LRS, we value continually learning. You will be
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, community, and connection. Within LRS, we value continually learning. You will be expected to continually pursue new areas for learning related to this role and use newly gained skills and knowledge
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value continually learning. You will be expected to continually pursue new areas for learning related to this role and use newly gained skills and knowledge on the job. You will also encourage and support
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on the HBS campus, where participants live, learn, and dine together in dedicated Executive Education residences and facilities. Our programming includes in-person, virtual, and blended (combining both in
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dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard
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still encouraged to apply; we value employees with a willingness to learn. Knowledge of financial principles, accounting, budgeting, and financial analysis Excellent collaboration and communication skills
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preferred. If you meet some, but not all, you are still encouraged to apply; we value employees with a willingness to learn. The Executive Assistant should be an administrative generalist with the flexibility
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ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard Business
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(PyTorch) with a drive to enhance these skills. Familiarity with one of the AI/ML fields like Natural Language Processing, Computer Vision, Reinforcement Learning, generative models, or a strong interest in