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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine learning and robotics and artificial intelligence in general. The focus is broadly upon the development
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methods based on optimal transport for addressing problems in signal processing, control theory, and inverse problems. The doctoral student project and the duties of the doctoral student By developing novel
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in computing science. Applicants who otherwise have acquired skills that are deemed equivalent are also eligible. Strong command of both written and spoken English language is a key requirement. You
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of novel computational methods and models, including extending methods already under development in the lab, with a particular focus on ways of exerting more precise control for protein design. In
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networks, supply chain strategy, operations planning and control, material handling, and freight transport. Digitalisation, circularity, and resilience are key drivers and enablers of this research. Our goal