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Field
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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research project in collaboration with multiple tech companies to develop and demonstrate the next generation of free-space optical (FSO) communication systems for satellite communications. Information
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at the National University of Singapore (NUS) with the collection, analysis, visualization of data and presentation of analytical results for regular and ad-hoc reporting purposes to meet multiple information and
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statistical analyses are needed. The incumbent will work closely with USC researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 13 hours ago
on the primary data. They are often captured from multiple scans made from different locations to unspecified surface locations. This introduces novel sources of uncertainty while potentially reducing the impact
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are needed. The incumbent will work closely with USC researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results
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and Physics at Syracuse University invite applications to fill multiple faculty positions in the field of quantum information science, broadly defined. Faculty will be appointed in either
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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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electrode arrays - 20% data analysis with advanced methods such as multiple regression, fourier domain algorithms, modern statistical approaches - 5% paper preparation including writing text, making figures
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transforming society by powering autonomous vehicles, providing strategic advantages through large-scale data analytics, and enabling intelligent applications across multiple domains. However, conventional von