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(terrestrial and NTN). The goal of this research is to design and develop algorithms and techniques that adapt to the environment, minimizing signaling overhead associated with channel estimation and enhancing
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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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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nanocomposite and supramolecular materials for next-generation integrated sensor arrays. This role supports innovation in intelligent sensing technologies, contributing to the development of scalable
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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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the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
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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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. Integrate sensors (e.g., force, position, safety) to inform robot behavior and user feedback. Conduct iterative testing and refinement of the interface based on usability studies. Collaborate with clinical
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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