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and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising
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degrees of knee flexion and retreat to neutral position of the ankle. The system must be lightweight, affordable, and adaptive. Furthermore, the system will be equipped with force sensors embedded in
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multimodal data (video, self-report, physiological sensors, automatic facial recognition software) that examines CER in multiple contrasting contexts. And (3) Advance educational theory and practice by
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, Dental Materials, Dental Technology or a related discipline, with research experience in Non-linear Finite Element Analysis, CAD for dental prostheses, AI algorithm development using python / PyTorch, and
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collegiality is at the heart of what we do. The Department’s research structure consists of five Research Groups: Algorithms and Complexity (ACiD) Artificial Intelligence and Human Systems (AIHS) Network
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algorithms. The research focuses on wind energy applications, creating a compelling sustainability narrative: developing more efficient computational methods to optimize wind farm performance, which in turn
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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requirements and workflow of the platform and supporting the definition of sensorization for the molds. V - Initial grant duration: 6 months V.I - Renewal Possibility: Possibily renewable VI - Funding and
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trustworthy medical AI? Deep models already outperform humans on many benchmarks, yet in the clinic they remain black boxes: radiologists cannot see why an algorithm flags a lesion, and AI engineers cannot tell
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Spectroscopy (dwSCOS) sensor for non-invasive microvascular monitoring. 2. Perform Monte Carlo simulations for optical modeling of photon propagation in layered tissues. 3. Fabricate and characterize dynamic