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University of Southern California - Center for Craniofacial Molecular Biology | Los Angeles, California | United States | about 2 months ago
Accountabilities: Serves as a research trainee for the purpose of enhancing and developing research competencies. Participates in planning, designing and conducting highly technical and complex research projects
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-wide salary at the designated experience, are offered when necessary to meet competitive conditions. Application Window Open date: May 11, 2026 Next review date: Friday, Jul 31, 2026 at 11:59pm (Pacific
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for aging populations. By combining expertise in wearable transducers, biomedical imaging, materials science, data analytics, and healthcare innovation, WITEC aims to design solutions that will improve
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” (3DMM2O), which aims to establish scalable digital three-dimensional (3D) additive manufacturing across all scales from the molecular to the macroscopic range 3D acoustic particle manipulation complements
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postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday athletes and coaches currently use tracking and feedback technologies, design and
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to contribute to the personalized prevention and treatment of chronic diseases and advance our understanding of the mechanisms underlying their development. Two methodological focus areas are digital N-of-1
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that combines conceptual innovation with practical societal engagement. We strive to provide a supportive and flexible working environment in which researchers can develop their own ideas and build their own
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(i) strong foundations in digital communications and statistical signal processing with (ii) hands-on implementation using reinforcement learning (including multi-agent RL), large language models (LLMs
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documented experience with educational technology, AI enabled learning environments, digital educational innovation, or related areas, and demonstrate effective organizational and communication skills
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) methods for modeling and optimization of metallic materials and advanced manufacturing processes. Participate in the design of integrated, scalable numerical methods and uncertainty quantification. Follow