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of such efforts. Responsibilities will include activities such as working with large public datasets, designing and implementing relevant experiments writing manuscripts, presenting research, and mentoring
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) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune
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econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying machine learning algorithms, conducting computationally intensive statistical analyses, summarizing
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cell lines for large scale protein expression. The research specialist assists PI with projects studying LINE-1 retrotransposition, with a focus on cell based assays. Preparing experimental plans/keeping
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for graduate school or work in a data science career. Work includes tasks such as conducting advanced econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying
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such as competent cells, expression plasmids, polymerases, proteases, and RNA and DNA substrates. Culture insect cell lines for large scale protein expression. The research specialist assists PI with
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onboarding a large bequest of objects primarily from the Ancient Americas. This position is temporary. About the Museum: With a collecting history that extends back to 1755, the Princeton University Art Museum
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; and potential CoC members; provide the Clerk of the Faculty with ranked names and email addresses. Submit names of new and expiring CoC members to CeDar representative for Information Warehouse access
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in candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention (even if they have not explicitly worked on cancer prevention before). Candidate
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large-scale AI workflows. Applicants should submit online at https://puwebp.princeton.edu/AcadHire/position/39681 and include a cover letter, curriculum vitae, research statement, teaching statement, and