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Field
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) at the University at Buffalo (UB) invites candidates to apply for multiple positions as Assistant Professor, Associate Professor, or Full Professor. The new AIS department was created with the goal of creating AI
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to educational excellence and developing and sustaining premier research programs with national and international recognition. The Department invites applications for multiple non-tenure track positions as an
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and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
of the Transitional Care Coordinator. Under the direction and supervision of Transitional Care Coordinator, utilizes multiple referral platforms such as Enso care, e-fax and phone calls etc. to review post-acute
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the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D urban structure
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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| Mechanical and Aerospace Engineering Research Assistant 2-Engineer at the Center for Automotive Research (CAR) at The Ohio State University assists with conducting research and development on autonomous
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to work on projects in the modeling of representative democracy. The primary role of these Research Associates will be to anchor multiple research projects in electoral systems (such as ranked choice
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Baltimore, MD, or Washington, DC , to investigate the foundations of human normativity and how these insights can inform the development of AI systems aligned with human values. The ideal candidate will have
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topics related to development and macroeconomic behavior. Many of these studies involve the collection of data using computational algorithms and analysis of large-scale survey data, which are combined