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real-world clinical and laboratory experiences and artificial intelligence-based approaches, providing opportunities to study, work, and conduct research in Boston, across the Northeastern university
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that integrate themes such as sustainability, computational design, and artificial intelligence. The role involves contributing to the creative fabrication curriculum by designing coursework that addresses topics
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, wireless testbeds, software defined radios, and network optimization and artificial intelligence. Interest and knowledge in experimental research using network testbeds are desirable, but not required
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record of interdisciplinary research, innovative pedagogy, and relevant teaching experience in music industry/business and intersecting technical areas such as algorithm development, artificial
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health risks or co-occurring adversities; mental health; risk and resilience in response to race- or weight-based stigma and discrimination; use of artificial intelligence (AI) and technology to address
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tenured appointment at any rank (Assistant/Associate/Full professor) starting in Fall 2025. We seek outstanding faculty with expertise in Artificial Intelligence (AI) and Information Systems. The successful
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and Visualization, as well as concentration courses in the areas of Applied Artificial Intelligence, Evidence Based Management, and Statistical Modeling. In conjunction with the Program Lead, develop
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artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others. The R&D Engineer will work collaboratively with multi-disciplinary teams across the KRI
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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with
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/Associate/Full Teaching Professor (a non-Tenure-Track faculty position) at our campus in Seattle, WA with general areas of focus in Application Engineering, Artificial Intelligence/Machine Learning, Software