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clinical decision support tool for patients with atrial fibrillation, and directly utilizing the specific decision-support device (based on AI algorithms) developed during the study in accordance with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates
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). Design and fabrication of the calibration test phantoms Developing and testing acquisition software, and implementing image analysis algorithms and localization methods. Where to apply E-mail
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development of in silico models and generative AI algorithms for the production of high-resolution synthetic images, validated through the use of quality metrics and comparison with clinical data. The goal is
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conditions as well as in relevant real-world environments, Design and conduct listening tests to investigate the subjective preferences of users under various conditions, Develop DSP algorithms to be
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, and machine learning. The successful candidate will support the Principal Investigator (PI) in conducting high-quality research through algorithm development, numerical simulations, and scientific
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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control algorithms and optimization frameworks for adaptive neuromodulation strategies aimed at stabilizing sleep and mitigating seizure burden. Pipeline Development & Data Curation: Build, automate, and
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). Finally, two research engineers (technical staff) will assist the PostDoc for all what concerns hardware/software development and maintenance of the robotic platforms. Where to apply Website https
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. Our research focuses broadly on algorithm design and its connections to optimization, graph theory, and the foundations of machine learning. Recent work has centered on developing fast, dynamic