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understand real-world challenges? Do you enjoy exploring and formally analyzing aspects of human reading and related cognitive tasks? Join us and contribute to an exciting multidisciplinary research project
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. Background: You hold a PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields. Core Expertise: Strong expertise in Federated Learning and/or Continual Learning
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Assistant Professor, you will: Conduct research in the field of networked systems, focusing on distributed control, optimization, and data-driven modelling. Develop innovative methods for modelling, control
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, HBTs). Explore methods for co-design and intimate integration of electronic and photonic devices. Build a new research line focused on the performance limits of chip-based circuits with applications in
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integration and stability for converter-dominated networks, focusing on fleets of grid-forming inverters and their dynamic behavior. Develop methods to interface intermittent renewable energy sources with
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a balanced mix of AI with formal methods and testing techniques, we strive to make vulnerability detection more accurate, intelligent, explainable, and usable in practice. The project is cutting-edge
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of Environmental Sciences CML and Faculty of Science is looking for: PhD
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This four year fully funded PhD project investigates how complex temporalities of migration in urban contexts interact with migration and inclusion policies. As cities like Rotterdam and Bilbao exhibit varied
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. dr. Harald Vranken and dr. Mina Sheikhalishahi) as well as formal methods and software testing (prof. dr. Tanja Vos and dr. Tim Steenvoorden). The PhD project will be carried out in close cooperation
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PhD Position in AI and Data Science for Modelling and Analyzing Reading Text Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40