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Princeton University Library (PUL) seeks candidates for the Slavic Language Cataloging Librarian position. The position reports to the Leader of the Western Languages Cataloging Team and actively
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. preferred. Preference will be given to candidates with a background in Linguistics, SLA, or Applied Linguistics, although other fields will also be considered when there is evidence of sustained experience
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may include leading language sections, leading precepts, and participating in course and curriculum design. Appointment duty time will be based on course enrollments, and any position is expected
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of basic sciences or engineering (related to biological sciences preferred). - Good programming skills in at least one programming language (R or Python); - Good knowledge of multivariate statistics and at
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Large Language Models (LLMs) and vision-language models. This project is in collaboration with researchers at Microsoft Research. The ideal candidate has a strong foundation in both AI and HCI, and is
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to the proper locations in MDS+. This effort would involve using an embedded system like a Raspberry Pi and C code. Education and Experience Ideal candidate will have strong understanding of programming language
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to provide input about the experiences of LGBTQIA+ and women/femme students; Stays up to date on literature, language shifts, and best practices around supporting LGBTQIA+ and women/femme students; Contributes
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for these different architectures. The intern will learn and program the basic algorithms of PIC in Python or a compiler level language such as C/C++. They will then run this code on advanced computer chips available
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-critical devices, and wearables while conserving battery life. If you have a background in operating systems, drivers, system software, DevOps, and an interest in the Rust programming language, you have the
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. Preferred: Previous experience working with Terra Dotta/GPS. International experience and/or knowledge of a foreign language. Knowledge of Drupal. Princeton University is an Equal Opportunity/Affirmative