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engineering bio-statistics and AI-healthcare smart/semi-conductor manufacturing AI/robotics/autonomous systems aerospace and microelectronics engineering energy generation and storage digital business and
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5th March 2026 Languages English English English The Department of Chemical Engineering has a vacancy for a PhD Candidate in AI-Driven Spectroscopy, Digital Twins and Autonomous Control
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of Mathematics invites applications for a one-year visiting assistant professor appointment starting in the Fall of 2026. A PhD in Mathematics by the start date is preferred, but PhDs in related fields
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apply with your resume including a cover letter, CV and a brief statement of your work undertaken in previous work. The Singapore Institute of Technology (SIT) is a public autonomous university and the
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collaboration with the Marine Technology Center of Sweden, MTC. Work description This postdoctoral position considers research in marine technology, more specifically on autonomous underwater and surface vehicles
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 15 hours ago
small satellites or other probes to operate and interact autonomously, and the avoidance of round-trip light travel delay during decision making for more distant spacecraft. Prior to such rollout
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. Qualifications Applicants should: (a) have a PhD degree in Engineering with expertise in learning based control, data driven control, formal methods and temporal logic control, autonomous control, verification
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prototypes for projects in application areas including autonomous systems, robotics, cognitive and distributed sensing, and machine learning systems, among others. Successful candidates will be responsible
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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for