15 phd-in-computer-vision-and-machine-learning-"Multiple" positions at Northeastern University
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/Associate/Full Teaching Professor (a non-Tenure-Track faculty position) in Miami with general areas of focus in Application Engineering & Development, Artificial Intelligence/Machine Learning platforms
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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Artificial Intelligence, Machine Learning, and Natural Language Processing. In this role, the Teaching Faculty will report directly to the MGEN Executive Program Director. The selected candidate is expected
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networking and IoT infrastructure, and enhance security and privacy. Foundations of AI: areas of interest include machine learning, LLMs and SLMs, natural language processing, computer vision, theory, and
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of interest include machine learning, LLMs and SLMs, natural language processing, computer vision, theory, and transparent and explainable AI models. Human Centered AI: areas of interest include sensing and
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. The candidate will also have relevant industry experience and/or research in the areas such as: Blockchain-based decentralized trust computing, machine learning/AI, eco-scale application engineering, cloud
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/Associate/Full Teaching Professor (a non-Tenure-Track faculty position) in Boston, MA with general areas of focus in Artificial Intelligence, Machine Learning, and Natural Language Processing. In this role
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research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, advanced manufacturing, as
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computing, machine learning/AI, eco-scale application engineering, cloud computing and infrastructure platform design, software driven networking, software engineering/model driven design and architecture techniques
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, is home to one-of-a-kind research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system