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with a strong background in applied mathematics, control theory and/or optimization to apply for a fully funded 4-year PhD position in the Smart Manufacturing Systems (SMS) group at the Engineering and
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of complex thermo-mechanical behaviour (e.g., plasticity, damage, fracture) in engineering materials at different length scales, which emerges from the physics and mechanics of the underlying multi-phase
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of freedom makes it possible to increase the maximum information transfer rate, for instance through mode-division multiplexing: different modes carrying different angular momentum propagate independently
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cultivated in northern and remote locations. ACRD’s research interests include integrating engineering, intelligent systems, data analytics, and plant biotechnology to optimize crop production in controlled
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on the basis of the following criteria: Technical competencies Strong ability to design and optimize integrated optic devices, model their optical, optoelectronic, thermal-optical properties using commercial and
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its inverse reconstruction. A key challenge is the data-driven design of the experimental setup: exploring how the choice of measurements and configurations can be optimized to extract the most useful
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of different storage capacities together with scaling methodologies; - assess site-specific performance under different geological conditions and providing design recommendations for future demonstration
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tissue exposure, and the systematic investigation of different treatment scenarios should finally allow deriving optimized treatment strategies within PRESTO which can be used in treatment planning. Your
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. About the project The planned topic of the PhD project is to find practical ways to make the forces from different types of “sails” (wing sails, rotors, suction sails …) as directly measurable as possible
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are optimized based on plant performance and energy price fluctuations. The learned models and resulting data-driven control approaches will be designed to be more easily transferable between different