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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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algorithm design. To seek and demonstrate practical utility of using AI for automating quantum algorithm design. To analyze complex wave-based physical systems and their high-dimensional parameter spaces in
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simulation tools in python to develop innovative algorithms, then conduct tests on the THD2 testbed to validate the algorithm's performance under realistic conditions, and finaly participate in observing runs
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healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
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the research on Integrated Sensing and Communications (ISAC) with Reconfigurable Intelligent Metasurfaces (RIS). Key Responsibilities: Design the algorithm for Integrated Sensing and Communications
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remote sensing approaches using ocean-color and thermal-infrared satellite observations to study marine organosulfur compounds and ocean–atmosphere interactions. Key research activities include algorithm
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-of-the-art by exploring novel experimental and algorithmic approaches enabling spectroscopy and imaging of quantum materials and biological samples with extreme spatial and temporal resolution. The work at the
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Learning algorithms (clustering algorithms (K-means), genetic algorithms, and reinforcement learning) and end-user piloting of software systems – including technical attributes and legal/commercial
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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/26. Preferred Qualifications: Strong background in algorithms, human-computer interaction (HCI), and software engineering. Experience in robotics systems, interactive or intelligent systems, or AI