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quantum sensing technologies (e.g., Rydberg atomic sensors) for wireless communications and sensing. Key Responsibilities: Develop quantum-related theories, models, and algorithms for various communications
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electronic converters for distributed energy resources and microgrids; High voltage DC transmission and distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap
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relevant publications in reputable peer-reviewed international journals Demonstrated the ability to obtain extramural funding A good track record of supervising research staff, postdocs, students, and
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. The successful candidate will play a pivotal role in a project centered around variational quantum algorithm in the near-term, especially on innovating advanced error mitigation or detection techniques to solve
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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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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems