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Mathjobs.org | 29 days ago
nine-month academic year, which usually can be augmented by teaching at the Summer School or by working on a research contract, if funds are available. The teaching commitment is two courses per year
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nine-month academic year, which usually can be augmented by teaching at the Summer School or by working on a research contract, if funds are available. The teaching commitment is two courses per year
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evaluation and probing, retrieval and retrieval-augmented generation, explicit representations of interpretive evidence and uncertainty, data annotation, human-centred evaluation and multilingual or cross
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, and Economics. Barnard’s Computer Science (CS) Department (https://cs.barnard.edu/) has faculty with expertise in Security and Privacy, Natural Language Processing, Computer Graphics, Augmented Reality
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Vrije Universiteit Amsterdam (VU) | Amsterdam, Provincie Noord-Holland | Netherlands | about 1 month ago
into the Presentis student information system (leerlingvolgsysteem) for user-centred evaluation and refinement. To get a better idea about the project, see: https://www.ru.nl/onderzoek
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areas such as digital humanities, immersive storytelling (virtual reality, mixed reality, augmented reality, 360-degree video), and related emerging technologies. TYPICAL ACTIVITIES Teach one or more
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Media for Learning (CRN: 2479) Course Description Creating and using media for learning. The course reviews audio-visual education (text, visuals, audio, video, and augmented reality), media and
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related field, with experience implementing AI or enterprise technology solutions in a complex organization or higher education environment. Hands-on experience with Retrieval-Augmented Generation, agentic
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knowledge and expertise in Artificial Intelligence to teach one or more class meetings of an in-person course entitled, Computing, Data Science, and the Future Workplace . Designed for the AI-augmented
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construction and will work closely with the other PhD candidate on the project, with the augmented/generated data feeding directly into the causal and predictive models targeted by GEOLIANT. The work