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Range $43,805-70,075/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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inference, and Machine Learning methods. In addition to leading their own research projects, the appointed candidate will have the opportunity to contribute to the projects of PhD students in the group, as
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practical applications of advanced machine learning techniques. Emphasis will be given to theoretical approaches in machine learning for real-world applications, with a preferred focus on optimization, data
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Description REALISE - Bridging Igneous Petrology and Machine Learning for Science and Society About the REALISE Doctoral Network REALISE will train 15 Doctoral Candidates at the interface of igneous petrology
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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
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Preferred Qualifications Additional Preferred Qualifications In-depth knowledge working with auxiliary service operations at an institution of higher learning preferred In-depth knowledge in supporting point
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paradigms centered on human perception. Finally, the recent rise of foundation models and multimodal artificial intelligence opens up new perspectives at the interface between coding and machine learning
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Lexington, KY Grade Level 46 Salary Range $52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education MA Click here for more information about equivalencies: https
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coverage; tuition benefits for classes at UK, and much more. To learn more about these benefits, please visit: https://hr.uky.edu/employment/our-benefits . Ready to Make a Difference in Research
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with—or a strong motivation to rapidly learn—machine learning techniques, particularly for real-time or large-scale data processing Preferred: Proficiency in Python and familiarity with Rust or other