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About the Opportunity About the Opportunity Northeastern University invites applications for tenure-track faculty positions in technology and health, beginning in the academic year 2026-27
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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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) and traditional ML models Build and maintain real-time and batch inference pipelines with high availability and fault tolerance Optimize AI workloads for performance, cost-efficiency, and low-latency
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
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dramatically, fueled by its highly collaborative, interdisciplinary institutes and centers and the hiring of more than 1,000 tenured and tenure-track faculty. Northeastern’s experiential model, with its
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approaches to research questions; deepen their understanding of causal inference; and recognize the provisional nature of scientific knowledge. Covers issues of statistical methods and data analysis; however
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purchase orders and contracts from initiation to completion. Serves as a liaison between Office of General Counsel and faculty for contract tracking and filing. Negotiates directly with vendors, manages
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students to deploy AI systems in up to 200 homes in Atlanta, GA. You will be responsible for designing and deploying the infrastructure that connects sensors, AI inference systems, large foundational models
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University Seattle campus. Course topics include High-performance Computing, VLSI Design, Advanced Machine, Learning Combinatorial Optimization and Statistical Inference. Responsibilities include preparation
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QUALIFICATIONS • PhD or another terminal degree in social, biological, information or physical science field by the appointment start date. • Demonstrated track record of scholarly achievement in relevant areas