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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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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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if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa . As a valued member of our team, you can expect: 1 A warm welcoming
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the simulation environment and perform training using large data sets. Scientific verification: you systematically verify the developed models with respect to robustness, physical limits, sensitivities and
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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 20 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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/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required
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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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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational