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goal oriented and persevering in your work. Candidates will be assessed upon their ability to: acquire knowledge within the fields of control theory, robotics and machine learning, independently pursue
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on automated remanufacturing for the scaling of circular textile production by using methods and models from, for example, operations research or artificial intelligence/machine learning. Identify relevant
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information from sequence alone, independent from optical microscopy. This adjacency or neighbor-neighbor information can be used generate images in a computer. Today one person can routinely read millions
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essentially corresponding knowledge in another way. Experience with Computational Fluid Dynamics (CFD) is advantageous, as is knowledge of quantum chemical calculations (DFT). An interest in machine learning
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, Machine Elements, Economics, and Law will commence with a consortium comprising LTU, LKAB, and Vattenfall. We are seeking three highly motivated PhD candidates to contribute to the interdisciplinary