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the robustness of software systems, and in responding to sophisticated cybersecurity threats. Ensuring the robustness and security of AI systems is the next big challenge on the horizon, and we are seeking life
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have already successfully obtained a university degree and a PhD, or are about to complete your PhD, in social sciences, economics or economic geography, and have robust knowledge of quantitative
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speech, as bridges to enhance cross-lingual transfer between high- and low-resource languages. The project combines resource creation with methodological research and aims to advance inclusive, robust, and
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robustness Building Uncertainty-Aware General Purpose Models Merge developments into a unified, efficient MLFF architecture Train MLFFs on large, diverse datasets across broad chemical space Evaluate models
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3D environments. • Design of a robust control architecture to ensure autonomous navigation using information from the optical localization system (development of estimation algorithms, use of observers
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detection, and uncertainty assessment Design and evaluate robust data pipelines for industrial monitoring systems Participate in project meetings, workshops, and collaboration activities within the GreenFab
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to particle separation systems. · Optimize the design of particle-handling systems for the space environment, including the development of robust design criteria · Couple physics-based models and
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research in underwater optical wireless communication (UOWC). Recent studies in controlled in-lab testbeds have shown the possibility of a Gbps data rate. But achieving reliable, robust and resilient data
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maintain robust hardware–software interfaces for sensors, actuators, and communication systems. You will contribute to system validation, simulation, benchmarking, and performance analysis in clinically
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key conservation challenges. Develop new research directions that expand the Yang Center's scientific leadership and global impact. Build and maintain a robust, independent research program in