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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 15 hours ago
including case-based instruction, large-and small-group discussion, clinical, lecture, demonstration, and simulation. Interested individuals should apply at the UT Health website: https
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interested in candidates whose research is data-driven and leverages modern computational techniques, including artificial intelligence and machine learning, to maximize the scientific return from large
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matter (or other “invisible” new physics signals) at the Large Hadron Collider (LHC) compare high-dimensional collision data against detailed simulations whose likelihood cannot be evaluated, only sampled
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, the Executive Director of Annual Giving is a visionary advancement leader responsible for architecting and executing a high-impact, data-driven annual giving program. This leader is charged with securing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
structured output generation) Experience with natural language processing utilizing traditional data science approaches (word2Vec, NLTK, Spark NLP, etc.) and/or NLP utilizing large language models High level
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warehouses and/or lakehouses. You have strong SQL skills and are comfortable working with large and complex datasets. You have a good end-to-end understanding of data solutions and how different components
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publications and conference presentations in Solar Physics and Astrophysics as well as through outreach activities. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307635
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boats on rivers or other large bodies of water. Experience analyzing macroinvertebrate data and large data sets in general. Experience overseeing technicians, including scheduling, task assignment
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Posting Details Position Information Title Formal Verification Research Specialist (Grant Funded) Department Summary Tbd Position Summary This NSF-funded, full-time research position will support a
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conducts theoretical, methodological and applied research, with emphasis on statistical methodology for large-scale and register-based data and on applications of societal relevance. The successful candidate