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reconstruction methods to generate as-built building models for the detection of dimensional deviations, installation errors, or design compliance issues. Research into using robotics for automated, repeatable
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handling robots for high throughput crystallisation. The broad aim of the project is to enhance the deliverables of the NCS to aid users in obtaining crystallographic data on a range of materials across a
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of scalable uncertainty quantification (UQ) methods is a particular emphasis to support the integrated simulation goals of the MAC. A PhD and research experience in one of these areas is required. This position
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through the integration of high-performance materials, robotics, automation, computation, and process optimization. Affordable mass customization of building designs that are produced with advanced
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students. Qualifications PhD or terminal degree in Industrial Engineering, Operations Research, Systems Engineering, Artificial Intelligence, Robotics, or related field. A track record of publishing and
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partners, couple the standardized code framework with robotic and automated manufacturing for building construction. Combine these new manufacturing approaches with high-performance building materials