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on the project of NEMO Sub-Project C: Passive UE activity inference (4/5G) from OTA network traffic. The role will focus on developing algorithms and methods for processing and analyzing 5G signals. We
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efficiency of vector search systems. The Research Engineer will work closely with the Principal Investigator and research team to design, implement, evaluate, and optimize algorithms and systems for high
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for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations of the designed algorithms and systems. Help with research
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power electronics converters, control, and energy systems. Design, simulate, and implement power electronic converter prototypes and associated control algorithms. Perform experimental testing, data
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next-generation intelligent systems that are both scalable and explainable. This role bridges algorithmic research and systems implementation, offering opportunities to collaborate with leading academics
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data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems, which can benefit a wide range of real-world
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Responsibilities: Design, implement, and tune algorithms for digital control, A/D sampling, pulse synchronization tailored for power converters applications (DC-DC, AC-DC, DC-AC). Develop and implement firmware
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relevant research or working experience in LLM/VLM and AI decision-making algorithms for end-to-end autonomous driving will be preferred. Good communications skills and the ability to work independently and
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analysis tools for package and chip access, imaging and security assessment. The CA team researches the design and development of advanced algorithms and tools for automatic and efficient analysis of VLSI
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of projects. Key Responsibilities: Review the literature related to UAV communications and networking Develop new AI algorithms for UAV networking and management Implement and test the algorithms under