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Field
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embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and
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for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration
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home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 1 day ago
knowledge to resolve or aid in the resolution of complex scientific and technical problems with students. Qualifications PhD in Physics, Electrical Engineering, or a related discipline. Demonstrable skill in
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. Qualifications Qualified candidates must have a PhD in Electrical Engineering or related field. About the Department ECE is one of the largest departments within the College of Science and Engineering. Current
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Number req23327 Department Sch of Landscape Architecture Department Website Link https://capla.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights The School of Landscape
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Sign In Create Profile Postdoctoral Research Associate, Civil & Architectural Engineering & Mechanics Tucson, AZ, United States | req23256 Apply Now Share Save Job Posted: 6/27/2025 Back to Search
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). Our research focuses on questions within the domains of food, living environment, and society. With approximately 30 locations, 7,700 staff members, 2,500 PhD candidates, and over 13,000 students
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. superlattices) this architecture has unparalleled scope for quantum property design. Your particular focus will be on developing a novel characterisation platform that allows fully functional devices to be