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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
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of long-endurance autonomous instrument platforms through sensor integration, development of advanced shoreside and embedded control algorithms, and adaptive autonomous deployment and recovery methods
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analytical tasks, which have the clinical value in the real-world employment. • To develop novel models and algorithms for 2D or 3D medical vision tasks, such as surgical scene segmentation, depth
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are looking for world-class candidates with expertise in the computational aspects of algorithmic design and a strong focus on applying these skills to real-world problems. The successful candidate will be
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. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description
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postgraduate levels. We welcome applications from candidates whose research aligns with any area of Artificial Intelligence, including but not limited to Mathematical Theories for AI: Algorithmic Optimizations
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modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and
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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
include: 1. Designing and implementing software components, data structures, algorithms, APIs, and research workflows using Python and related technologies. 2. Developing and operating containerized