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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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models all the way to the materials discovery lab. From the machine learning perspective, your research will be in the area of generative models, geometric machine learning, dynamical systems, and/or multi
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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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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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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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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