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process data locally while ensuring efficient and scalable artificial intelligence at the edge. TinyML and Edge AI have demonstrated the feasibility of embedding machine learning models on such devices
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-year fully funded PhD position in Artificial Intelligence, Digital Methods, and Social Science. The starting date is September 15, 2026, or as soon as possible thereafter. The position is part of a
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full-time PhD scholarship in the project Navigating Negativity: What is a Healthy News Diet? (HEALTHY NEWS), with employment starting from 1 November 2026, or as soon as possible thereafter. The place of
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transition from segregated robotic operations towards integrated human-robot teams, establishing the technological and regulatory foundations for the next generation of intelligent nuclear workplaces. Funding
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Xi'an Jiaotong - Liverpool University – XJTLU Entrepreneur College (Taicang Campus) Industrial Intelligent Agent Research Center ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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letter of offer for the program if all conditions have been satisfied. About the scholarship Project details The project investigates distributed and edge intelligence for smart grids with distributed
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and Reliable Artificial Intelligence to be occupied starting from the 01.10.2022. The Trustworthy and Privacy-Preserving AI Group (PI: PD Dr. Georgios Kaissis) at the Institute for AI in Medicine
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project - “Automated marine infrastructure inspection based on intelligent underwater robot technology”. Qualifications Applicants should have: (a) a PhD degree with academic background in Mechanical
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& Agentic AI (A3) Lab, supervised by Associate Professor Behzad Bozorgtabar and co-supervised by Professor Qi Zhang. Research vision How can intelligent robots understand instructions, anticipate