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) and common data formats (e.g. RVT and DWG). Preference will be given to those with experience in computer graphics, 3D geometric algorithms or WebGL development. Applicants are invited to contact Prof
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active research interests in quantum computing, quantum algorithm/software development and applications in decarbonisation who can take full advantage of the unique opportunities the QDA provides
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delivering a two-year research project focused on developing a high-efficiency, lightweight Smart Battery Management System (BMS) for renewable energy storage applications. The candidate will lead the design
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Information Engineering and Media to develop Machine Learning and AI algorithms for real-world and media-related applications. The Research Associate/Research Fellow is also expected to support teaching
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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
algorithms, and validation in different human diseases. Responsibilities: • Design, implement, and evaluate novel MRSI and MRI pulse sequences for research and clinical translation. • Develop Extraction and
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of function. We have NIH-funded and industry-sponsored projects to develop, validate, and apply computer-based models of electrical stimulation of peripheral nerves to design improved therapies. The successful
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to join our interdisciplinary team working on a cutting-edge research project titled "EmoRoom: A visual analytics system unveiling students’ emotions from classroom video data." The project aims to develop
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for Artificial Intelligence (FCAI), ELLIS Institute Finland, and Aalto University House of AI, invites applications for multiple postdoctoral positions. Our team works actively to develop intelligent robotic
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an extensive array of resources: UAVs for communication protocol, edge computing and control algorithm development; THz transceivers for high-frequency communication channel measurement and sensing; Real-Time
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operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can