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settings. The ultimate goal is to enable early, systematic, and robust screening of children at risk of neurodevelopmental disorders. Deep learning models typically produce point predictions, whose
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, implement, and tune advanced control augmentation techniques (e.g., model predictive control, adaptive control) to enhance the stability and agility of COTS drones under dynamic conditions. Swarm Intelligence
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Introduction Achieving reliable, high-performance fusion requires a predictive understanding of turbulence and instability dynamics at the tokamak edge, where fluctuations spread nonlocally and
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-identification, and version control. • Collaborate with clinicians, engineers, and data scientists to integrate imaging biomarkers into predictive and diagnostic models. • Contribute to study design, IRB
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-identification, and version control. • Collaborate with clinicians, engineers, and data scientists to integrate imaging biomarkers into predictive and diagnostic models. • Contribute to study design, IRB
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optimise deep learning–based models for the quality control and real-time assessment of concrete constituents within in-line production. Develop and train predictive algorithms based on hyperspectral imaging
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Operate, repair, troubleshoot, control, and maintain, high pressure boilers, valves, traps, expansion joints, piping systems, auxiliary equipment, and distribution systems on University owned
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drug residence time, creating a high burden for patients and clinics. We thus aim to develop a minimally invasive, injectable biomaterial platform designed to enable predictable, long-term ocular
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at the University of Rouen Normandie is seeking a motivated PhD candidate for the CRONOSS project, which aims to revolutionize crystallization control by combining in silico simulations with experimental validation
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reliable transmission of demanding multi-modal data such as haptic feedback, video, and 3D sensing data. This project will develop AI-driven predictive network intelligence to anticipate delay and network