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) and Piet Van Mieghem. In your role, you will work closely with other PhD students of the NAS group and KPN staff. *KPN and Delft University of Technology will work together on new ICT technologies
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computer science, mathematics, physics, or a related discipline. Demonstrate eagerness to tackle complex mathematical challenges. Have proficiency in both written and spoken English. Knowledge of machine
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Engineering, Mathematics and Computer Science. * KPN and Delft University of Technology will work together on new ICT technologies We are looking for brilliant PhD candidates with a strong interest to the join
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, society and sustainability. This PhD position will be based at the Multimedia Computing Group in the Department of Intelligent Systems (INSY). *KPN and Delft University of Technology will work together on
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, from e-commerce and entertainment to healthcare and cybersecurity. Prospective PhD candidates should meet the following criteria: Hold a Master’s degree in Computer Science, Data Science, Machine
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telecommunications (protocols, architectures, design and performance), algorithms, probability theory, data science and network science. Because of project definitions, we are looking for EU citizens. Doing a PhD at
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Result Orientation Operational Efficiency Fostering Cooperation Relationship Management Continuous Improvement Forward Thinking Education A PhD or master’s degree in physics, engineering or Earth sciences
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and implementation of both sensor-based and sensor-less Dynamic Line Rating technology (with appropriate protective relaying), which monitors the Dynamic Thermal Rating of the line, based on current
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the development of artificial systems that each integrate different aspects of machine learning, multimodal sensing, ubiquitous computing and social science. In addition, the successful candidates will have the
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Fast growing Cyber Security group with collaborations in Europe and USA both in academia and industry. The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and