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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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invites applications for an Associated Faculty (Lecturer) position in Music Composition. The successful candidate will teach undergraduate courses in music composition and related areas. Candidates must
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, along with a strong theoretical or practical background in statistical mechanics, quantum dynamics, or Machine Learning. Demonstrated experience operating and maintaining a research codebase and data
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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; identify and resolve data-related issues. Develop bioinformatics methods and pipelines via working with the faculty in the Department of Biomedical Informatics; implement artificial intelligence and machine
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, associate professor-clinical and professor-clinical. These faculty will have earned a doctor of medicine (MD), doctorate (PhD) or other terminal degree in the relevant field. Clinical faculty members are not
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; prepare and grade classroom work; participate in ongoing professional development/ may participate in curriculum development and conduct research. Performance Objectives • Teach lectures and
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are seeking a dynamic and talented instructor who can contribute to our department. Ideal candidates will be able to teach across all levels of the undergraduate curriculum, including courses in health and
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to learn and lead exciting research projects that blend methods in pharmacoepidemiology with Artificial intelligence (AI)/Machine learning (ML) techniques to generate real-world evidence on the use
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to enhance teaching and learning. Participate in teaching activities consistent with division goals. Demonstrate effective teaching skills through student and peer reviews. May serve as course director