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. The candidate is expected to carry out cutting-edge research on the physical layer design and optimization of RHS-enabled or RIS-assisted MIMO communication systems using tools from information theory
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validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts
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candidate will work under the supervision of Professor Raed Hashaikeh in the Mechanical Engineering department. This project focuses on the development and optimization of conductive membranes
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optimization vision-based structural health monitoring autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical
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-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure Quantum-Classical Systems, Privacy-Preserving Quantum Computing, and Fingerprinting for Quantum Computing. Strong
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faculty and researchers, maintaining high standards for operational excellence, and safety compliance. Advanced Technical and Experimental Support: Oversee the development and optimization of experiments
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to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement
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, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization
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publication record is encouraged and previous experience in areas such as Distributed control and optimization, Swarms, Autonomous Robots, Embedded systems development, Collaborative and adversarial control
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multidisciplinary teams, overseeing financial operations, and optimizing program delivery in a multicultural, international setting. Preferred Experience: Experience working in a higher education environment in