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hampered when the number of time samples is small compared to state dimensions, while latency and stability remain central concerns. As a result, learning-based feedback in high dimensions is still carried
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in your work. Ability and willingness to work in a highly collaborative environment, which involves research exchanges, learning multiple scientific approaches, and sharing knowledge, is absolutely
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workplace You will be based in the Division for Communication Systems (KS), Department of Electrical Engineering (ISY), Linköping University. The Division for Communication Systems carries out research
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/isy/elda . To learn more about the Department of Electrical Engineering, see: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted
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/organisation/liu/isy/elda . To learn more about the Department of Electrical Engineering, see: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted
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with major semiconductor companies and academic research organizations worldwide. Feel free to read more about the division here: https://liu.se/en/organisation/liu/isy/elda . To learn more about the
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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, flexible materials, bio-based foams, recycled fibers, adaptive textiles, fabrics, padding materials, and composite structures. It will also address the reduction of environmental impact while extending
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is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment
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at the intersection of AI and advanced electron microscopy. The project focuses on developing novel self-supervised and physics-informed deep learning methods to restore and denoise Transmission