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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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-driven approaches, the role aims to identify biomarkers and key molecular features related to health and disease, contributing to precision medicine and mechanistic insights. The position includes
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Bioelectronics group (liu.se/en/research/organic-bioelectronics ) where we investigate transduction between electronic signals and ionic/molecular signals in electroactive surfaces, “iontronic” chemical delivery
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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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unintentionally bring about macro-level outcomes. The group at IAS focuses on the dynamic processes that lead to a concentration of individuals with certain socio-economic or ethnic characteristics in different
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will work together with other bioinformaticians, doctors and molecular biologists both in the facility and in a wider network of national and international collaborations. As this post also involves
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also have experience with other molecular biology techniques, that is also seen as an advantage. You should also be meticulous, ambitious, solution-oriented and have a positive attitude. Extra weight and
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level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
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covers artificial intelligence, human-computer interaction, software and computer systems, and data science. The department is a dynamic and growing environment for research and education with around 300