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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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State University invites applications for an Associated Faculty (Lecturer) position in Music Composition. The successful candidate will teach undergraduate courses in music composition and related areas
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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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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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; 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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ensures return to editorial staff or journal for timely publication, composes and presents research at conferences; directs research personnel. Minimum Education/Experience Requirements: PhD or MD/PhD
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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
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. The candidate will have the opportunity to learn and lead exciting research projects that blend methods in pharmacoepidemiology with Artificial intelligence (AI)/Machine learning (ML) techniques to generate real
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at the Assistant Professor rank. We are seeking faculty who will teach within the division, MS and PhD programs in the School of Health and Rehabilitation Sciences consistent with expertise, mentor students in each