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Field
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, and machine-learning-based analytics. The research work at NTNU will focus particularly on automation, robotics, mechatronic design, sensor integration, and intelligent experimental systems required
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with ordinary facial movement. While many methods have been developed to recognise and localise micro-expressions, these results remain difficult to understand. The proposed models will be designed
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, microelectronics, integrated-circuit design, computer engineering or a closely related discipline In addition for Research Associate A PhD in electrical or electronic engineering, microelectronics, integrated
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candidate will design algorithms that identify suspicious model updates, reduce the influence of compromised UAVs, and preserve useful learning from honest UAVs operating with different data and unreliable
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depends on complex, interconnected systems such as sustainable power grids, autonomous vehicles and human-machine collaborative systems. Ensuring that these systems operate safely, efficiently and fairly is
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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robot morphology and autonomy are co-designed, enabling new generations of systems tailored to their operational environments and missions. Successful candidates will join an international community with
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| Electrical and Computer Engineering Conducts advanced research and development in the Department of Electrical & Computer Engineering, with a primary focus on cathodoluminescence spectroscopy and the
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Generative Artificial Intelligence (GAI) is rapidly transforming higher education, yet most current GAI systems are designed to support individual productivity rather than collaborative learning
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demonstration of a DNA-based stack data structure and recent advances in optimisation for DNA nanotechnology, the project will design, model, implement, and experimentally validate novel molecular data structures