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communication skills Expertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs) Excellent programming skills
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World Languages Cataloging Team and actively supports the teaching and research mission of Princeton University by providing timely and accurate access to PUL collections through the creation and
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and techniques, best practices in software engineering, programming languages, high-performance computing hardware, and computational research solutions. Participate in a community of research software
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of business process maps (leveraging software programs such as Visio); collecting and analyzing data (leveraging business analysis tools and techniques such as Lean Six Sigma and process mining); enhancing and
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. Experience in numerical software packages and languages like Matlab, Python and Julia. Knowledge in statistics and econometrics, including knowledge of statistical programming using STATA. Preferred Candidates
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of researchers to ensure understanding of the research need for engineered solutions - Build awareness of software development tools and techniques, software engineering best practices, programming languages, high
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, or circumstances in which they intend to carry out their programs—and also that they have the requisite foreign language proficiency. In addition, scholars will be entitled to draw the $5,000 Susan Stark travel
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, global engagement, and interdisciplinary research. This position provides oversight, administrative support and programmatic leadership in three key areas, including 1) a PIIRS Regional Program and its
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collaborations by: ○ documenting and analyzing current state processes through the creation of business process maps (leveraging software programs such as Visio); collecting and analyzing data (leveraging business
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involve contributing to model development activities. All applicants should have a strong background in using common programming and scripting languages to analyze or otherwise use large meteorological