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SHARE@NTU Lab is developing key technologies for humanoid robot research, designed for intelligent service, industrial assistance, and human-centric environments. The key technologies include
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settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide and mentor graduate students and other junior team members working on the project
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will help to develop advanced, real-time atmospheric turbulence correction algorithms to enhance the long-range imaging quality of optical sighting systems. You will embed new knowledge
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, and pharmaceutical discovery. The QUBIC consortium will deliver disruptive innovations across three core quantum domains: * Development of quantum algorithms to solve specific industry
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is recruiting a large multi-disciplinary team of postdoctoral researchers for the development of advanced computational imaging techniques and their cutting-edge applications in radio astronomy, space
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity focuses on the development and experimental validation of advanced Artificial
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the LLM effectiveness. Key Responsibilities: Research and develop novel ML-based methodologies and algorithms for multilingual and multimodal LLMs. Working closely with other Postdoc/RA/PhD students
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collaborative research projects, develop novel computational algorithms, and contribute to high-quality publication and grant-related activities. The position offers opportunities to work in a dynamic research
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Development and Operations Phase (IV023”, funded by EUMETSAT, a Agência Europeia para a Exploração de Satélites Meteorológicos, under the following conditions: Scientific Area: Geosciences Admission