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decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks . For more information about working at ISY, please visit: https://liu.se/en/article/open-positions
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, or related fields Strong interest in AI for scientific imaging, self-supervised learning, and image restoration Experience in deep learning (CNNs, transformers, or INRs) and scientific programming Good
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series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is
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, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en
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innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will enhance
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understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
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assignments You will work in the ELLIIT funded project “Safety-Critical Intelligent Machines with Cloud-Assisted AI and Control”. This project focuses on safety-critical intelligent machines, e.g. collaborative
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and 3D electromagnetic simulations is considered a significant advantage. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and
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computer-controlled techniques. Through practical experiments, the doctoral student will push the boundaries of these materials, uncovering new design expressions while deepening the understanding
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experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts