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The School of Physical & Mathematical Sciences (SPMS) is seeking a highly motivated Research Fellow to advance research in AI-enabled metamaterials and antennas. Key Responsibilities: Develop AI/ML
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design and hands-on development of the algorithmic execution engine, setting standards for code quality, performance, and reliability; c) Advanced Data Architecture: Spearhead the research and
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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the research project – “Advancing spatial methodologies and applications toward scalable and explainable GeoAI”. He/She will be required to: (a) develop spatial algorithms, big data analytics methodologies
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University. Key Responsibilities: Conduct research on methods and approaches to support air traffic management studies and applications. Develop, test, and evaluate analytical models, algorithms, and tools
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Responsibilities Participate in the research project to design a microgrid controller for grid interactive building applications. Develop control algorithms for dynamic master selection, coordinating BESS, PV
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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technically competent post-doctoral research fellow to join an interdisciplinary research project on occupant-centric building controls. This project aims to develop and implement cost-effective occupant