13,350 machine-learning "https:" "https:" "https:" "https:" "https:" positions in United States
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
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. To learn more about the Duke and Greater Triangle communities, visit: https://community.duke.edu/ . Candidates should submit a letter of interest and CV and Letter of Interest at https
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customer service skills. Knowledge of working with veterans’ benefits/similar benefit types Flexibility and motivation to learn new systems. Knowledge of military and veterans’ benefits. Minimum Work
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practices. Assistant Teacher observes, documents, and assesses childrens behaviors to support and contribute to decisions regarding individual childrens needs in all domains of learning. Participates in
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seeks applications for a non-renewable, full-time Artist in Residence to teach in Fall 2026: one section of Introduction to Acting, one section of Musical Theater Workshop, and one section of Mainstage
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for an Instructor in financial economics. This is a non-tenure track one semester visiting position, to begin January 1, 2026 and finish May 31, 2026. This position is expected to teach one undergraduate course
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for an Instructor in financial economics. This is a non-tenure track one semester visiting position, to begin January 1, 2026 and finish May 31, 2026. This position is expected to teach one undergraduate course
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leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php Offers of employment
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options are NOT available for this position at this time. The Research Associate Data Scientist participates in biomedical research projects using programming, data - mining, statistics, machine learning
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for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential