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distributed energy resources (DERs). Design & develop optimization algorithms/tools to plan the deployment of DERs such as energy storage systems (ESS), photovoltaic generations (PV), electric vehicle charging
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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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, aimed at developing next-generation intelligent systems that are both scalable and explainable. This role bridges algorithmic research and systems implementation, offering opportunities to collaborate
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efficient numerical methods for solving the problems, and implement the numerical algorithms to verify the theoretical results. Job Requirements: Applicants should possess a PhD degree or have satisfied all
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of marine geophysical survey and machine learning algorithms; Job Requirements: A Bachelor degree in geophysics or equivalent and A PhD degree in geophysics / geomechanics or equivalent from a recognized
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of the research group. Key Responsibilities: Conduct research in CV/ML/robotics for infrastructure monitoring and automation. Develop algorithms and/or systems for sensing, perception, and robotic applications
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, aimed at developing next-generation intelligent systems that are both scalable and explainable. This role bridges algorithmic research and systems implementation, offering opportunities to collaborate
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HDLs. Sound knowledge of cryptographic algorithms and secure hardware design principles. Experience with ASIC design methodologies and open-source IC design tools, particularly OpenLane. Evidence of
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edge-assisted offloading strategies for IoT networks. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is
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of Yi Li at the School of Physical and Mathematical Sciences. We are seeking a Research Fellow to contribute to a project focused on fundamental algorithms in data science. The main duty of this position