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for data science, artificial intelligence, and machine learning courses. The Preceptor will be responsible for assisting instructors of large AI-related courses for master’s and undergraduate students
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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/ML fields like Natural Language Processing, Computer Vision, Reinforcement Learning, generative models, or a strong interest in exploring them. Basic data preprocessing, feature engineering, and model
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of statistical modeling, econometrics, software development, and/or machine learning. Familiarity with modern web development practices (JavaScript, HTML/CSS, APIs, Git, NoSQL) preferred. Ability to handle
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School of Engineering and Applied Sciences at Harvard University invites applications for a postdoctoral position in robot learning, beginning in September 2025, or soon thereafter. The position is for one
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determine re-certifications, upcoming initiatives, and computer skills training. Develops an annual training calendar, working with Learning and Development Program Manager to determine topics that will be
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is currently building and commissioning a network of calibrated multi-sensor observatory-class systems, and developing novel machine learning methods with the aim of collecting science-quality data
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collaborative, impact-focused problem solver who wants to be part of a dynamic team. Information about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https
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applications from women and underrepresented groups. Minimum Number of References Required 2 Maximum Number of References Allowed 4 Keywords research, oral health, health policy, data, machine learning
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use for extended periods of time Lifting (approximately 20 to 30 pounds), bending, and other physical exertion Qualifications Basic Qualifications: Bachelor’s degree or equivalent work experience