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Electron Microscopy (TEM) and HAADF-STEM images. Microscopy data are often degraded by noise and scan distortions, and clean ground truth data are rarely available. This project aims to go beyond standard
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data is often affected by significant noise and scan distortions. High-quality ground truth data is usually unavailable or costly to collect. To overcome this, we focus on self-supervised denoising
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generative models, geometric machine learning, dynamical systems, and/or multi-modal learning. From the materials science perspective, our primary focus will be on ultra-thin, so-called, 2-dimensional
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embodied AI agents can dynamically adapt to group behaviors and learning needs The project will combine observational studies, interaction design, and experimental evaluations to develop embodied AI-driven
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/research/laboratory-of-organic-electronics/research . The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each
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The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping
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taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University
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how you and your project can contribute to our research environment. The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral
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engineering as well as knowledge graphs, and graph data. The employment When taking up the post, you will be admitted to the program for doctoral studies More information about the doctoral studies at each
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laboratories and strong national and European funding. Read more about LOE: https://liu.se/en/research/laboratory-of-organic-electronics/research . The employment When taking up the post, you will be admitted