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the interface between formal verification and automated planning. This is a unique opportunity to contribute to safer, more intelligent systems through a combination of theoretical work and practical
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fundamental and applied science in a dynamic and international environment that values teamwork and scientific excellence. We combine theoretical and experimental approaches, with theoretical activities
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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We are searching for a doctoral candidate eager to take part in crossdisciplinarity work within battery technology for a sustainable future. This work will compose both theoretical and experimental
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https://wasp-sweden.org/ for further details. We are seeking up to two qualified candidates who can collaborate effectively as a team. Research focus The project combines rigorous theoretical research
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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. You enjoy combining experimental laboratory work with theoretical analysis and modelling. While your main focus will be the research project and your own development as a researcher, the position also
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safety. You will work on developing control algorithms all the way to performance assessment in test vehicles. The project combines theoretical aspects of control algorithms, experimental design, and
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recognized for its strong theoretical foundation, practical impact, and close collaborations with academic and industrial partners. Project overview This PhD project is part of the interdisciplinary WASP-WISE
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The Department of Architecture and Civil Engineering (ACE) at Chalmers University of Technology has approximately 250 employees, encompassing a broad theoretical and practical knowledge base. In ACE, the Division