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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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students. The education and research at REALTEK cover a broad spectrum of disciplines. This includes data science, mechanics and process engineering, robotics, construction and architecture, industrial
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here
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laboratories. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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research with skilled colleagues who share your interests? Maybe you can become our new colleague at the Department of Electrical Engineering, IT and Cybernetics at the Faculty of Technology, Natural
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
1st October 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate to conduct research on Artificial Intelligence
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implementations and hardware-security countermeasures. Experience with hardware reverse engineering, debugging interfaces, or firmware analysis. Experience with machine learning, deep learning, signal processing
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and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We invite applications for a PhD position
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4th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for PhD Candidate in Modelling and Executing Cascading Effects
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. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware