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Field
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tensor network algorithm development and application. Competency with common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc for Sensor Development and Technology Transfer
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Post-doc on formal verification and algorithm discovery for numerical analysis About us and
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Postdoctoral Researcher in Industrial AI Algorithm and Autonomous Decision-Making Systems Xi'an Jiaotong - Liverpool University – School of Intelligent Manufacturing Ecosystem ABOUT XJTLU In 2006
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Postdoctoral Researcher in Industrial AI Algorithm and Autonomous Decision-Making Systems Xi'an Jiaotong - Liverpool University – School of Intelligent Manufacturing Ecosystem ABOUT XJTLU In 2006
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 19 hours ago
focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems. Key Responsibilities Develop computer vision and deep learning algorithms
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develop science-driven analyses that help inform future sensor requirements. The position also provides opportunities to investigate how modern artificial intelligence and scientific machine learning