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research, led by Prof. Steve Yim, focuses on the interactions between climate and air quality, and the resultant impacts on public health and the ecosystem. The team's ongoing research is to develop, advance
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including language understanding, generation, explainability and reasoning, and dialogue systems. Efficient algorithm development for air traffic conflict resolution. Develop and evaluate AI models, including
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-driven control techniques for robot path/trajectory planning Implementation of the developed algorithms Algorithms and systems verification and validation Report writing and presentations Job Requirements
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-making algorithm for autonomous vehicles. The work will involve sensor fusion, perception, trajectory prediction and test rig set-up, and experimental validation. Job Requirements: PhD Degree in Vehicle
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algorithms Engaging in scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Project duration: 6 months Job Requirements: Master’s degree in
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Developing and integrating AI algorithms into the real development progress Preparing academic publications such as patent applications and research papers Contributing to quarterly and annual report writing
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on complex system subject to various constraints. Design and develop real-time algorithms. Simulate and evaluate system performance. Document research outcome to publish at international conference / journal
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advances the mathematical foundations, algorithms, and real-world applications of epistemic uncertainty in machine learning, with a strong focus on imprecise probabilities, uncertainty representation and
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a Research Fellow to contribute to a project focused on algorithm design in Game Theory and Fair Division. Key Responsibilities: Formulate mathematical models for research problems in computational
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. The focus will be on deriving efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc