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on interpretable, learning-based stochastic optimal control for over-actuated electric vehicles—vehicles with more actuators than degrees of freedom, which enable sophisticated control strategies but also increase
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electrical measurements For questions, please contact: Researcher Robert Rehammar QT lab, robert.rehammar@chalmers.se Optimization of CZ gates in a 25 Qubit device The Quantum Computing group is developing
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that collaborate with humans for societal improvement. You will apply for funding and lead research initiatives in areas such as perception, planning, optimization, testing, and verification, producing high-impact
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having resided in the country of the host institution for more than 12 months in the last 36 months). Mandatory: Master’s degree in Systems Engineering, Control, Optimization, or related field. Strong