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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle
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leadership to align Epic functionality with operational priorities. Analyzes campaign and engagement performance and recommends optimization strategies based on results. Provides application analysis
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optimization of semantic communication in 6G multi-robot teleoperation scenarios. The candidate will investigate innovative approaches leveraging semantic communications, artificial intelligence, and emerging 6G
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Physician Logistics and Optimization. The Executive Director supervises, evaluates, develops, and implements best practices, operational processes, and system configuration within UHealth related
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leadership and laboratory managers to optimize research operations and shared resources. Responsibilities include overseeing laboratory and equipment installations, data storage solutions, freezer and
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creation of decarbonized, resilient, and equitable energy systems. This PostDoc position is offered in collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL ( Prof
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This research aims to design a sustainable framework for optimizing distributed computing systems to enhance performance while minimizing energy consumption. Existing scheduling algorithms often
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. The core pillar of the group’s work is Yau’s Affine-Normal Descent (YAND), a novel geometric optimization paradigm pioneered by Prof. Shing-Tung Yau. The immediate flagship application is YAND-MVSK
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
Position Information General Information Position Number STMP15 Working Title Digital Marketing Specialist Division Academic Affairs Department Graduate School (Adm) Work Unit Graduate School Work
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record to contribute to the development and automation of advanced electrolysis systems. The successful candidates will work on the automation, operation and optimization of electrochemical systems