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both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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and propagate uncertainty from image features to predicted PEMWE behavior. Bayesian experimental design and process optimization. The digital twin will form the basis for Bayesian optimization
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processing methods, are typically designed for operation in static environments: a model is trained on a fixed dataset and subsequently deployed for inference. However, real-world environments are often
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. At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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include peptide design and synthesis, incorporation of the novel peptides on nanocellulose-based hydrogels, followed by the evaluation of the functionalized hydrogels in terms of physicochemical and
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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responsibilities include: -Conduct independent research on the development and application of a genetic platform in zebrafish to optimize genetic tools for the treatment of diseases. -Design, execute, and analyze
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Infrastructure (https://svenskahistoriskapatent.se ). The group’s research centers on inventors, intermediaries in markets for technology, and the development of firms’ innovation capabilities and technology
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-based cathode materials, including ion substitution strategies and carbon network design, followed by electrode formulation and electrochemical testing in half-cell and full-cell configurations
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methods, including GIS and spatial analysis. Applicants are invited to visit our departmental website to review the kinds of research we do in the department (https://www.uu.se/en/department/human-geography