232 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United States
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to teach two courses per year: one lower-level course, such as Introduction to African American Literature, and an upper-level course such as Black Aesthetics, Early African American Print Culture, or a
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, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics
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under uncertainty, and machine-learning-enhanced autonomy for Advanced Air Mobility. The anticipated start date is Fall 2025 or Spring 2026. Responsibilities include: Conducting advanced research in GNC
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hospital in Colorado 7 years running. The department has a robust research infrastructure and offers extensive opportunities to learn the basics of high-quality clinical research and participate in cutting
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Job Summary We are seeking enthusiastic and dedicated individuals for the Peer Coach/Mentor work study position. This role involves serving as study leaders, sharing effective learning and study
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meaningful change in the world. Learn more about American University Department: School of Public Affairs Time Type: Full time FLSA Status: Exempt Job Description: The School of Public Affairs (SPA
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in computer skills (Office Suite), with the ability to learn and adapt to new systems as needed. Excellent communication and organizational skills, with the ability to work effectively with local
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Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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documents into appropriate structures for efficient training, establishing evaluation metrics to validate model performance, and improving the fine-tuning process with additional reinforcement learning steps