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of Electrical Engineering. Project description: Autonomous vehicles for mining and mobile robotics for industrial processes require complex motion planning as well as safe model-based predictive control and
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challenging chemical bonds (N–H, O–H, and C–H) under mild conditions. The project combines plasmonic materials, photoelectrochemistry, and ultrafast laser spectroscopy to investigate and control charge transfer
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synchrotron techniques such as X-ray photoelectron, absorption and fluorescence spectroscopies, and X-ray diffraction will be used for real-time analysis. Measurements will be conducted in controlled
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the Department of Information Technology website . At the Division of Systems and Control , we develop and analyze both theory and concrete tools to design systems that learn, reason, and act in
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. Excellent command of spoken and written English. Additional qualifications Experience with modelling, simulation, and optimization of energy systems. Experience in thermodynamic analysis, particularly
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such as Matlab, or Python. Excellent command of spoken and written English. Additional qualifications Experience with modelling, simulation, and optimization of energy systems. Experience in thermodynamic