152 Computer Science "Data driven Materials Modeling" positions at New York University
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lab members and industry collaborators. Requirements: Applicants should have a Bachelors or Masters in Computer Engineering, Computer Science, Electrical Engineering, or a related field. Extensive and
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: ● Applicants must have a PhD in Computer Science or related field, with no more than five years post receipt of the PhD. ● Experience in one or more ML domains, such as deep learning, reinforcement learning
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of Computer Science at New York University seeks highly motivated individuals to teach graduate and undergraduate level courses on a part-time basis. Courses could include introductory undergraduate courses; advanced
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applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in
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world. We lead and have ties to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our
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wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture
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research, innovation, and entrepreneurship that make a difference in the world. We lead and have ties to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences
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wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture
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, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture in New York City and in
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improvement of services managed. Responsibilities Required Education: Bachelor's Degree in Computer Science or related disciplines Preferred Education: Master's Degree in Computer Science, Business, or related