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graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher
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project As a post-doc in this project you will work on application of x-ray imaging towards thermoplastic lignocellulose based materials and be associated to the competence centre FibRe . The aim to advance
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for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages
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language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages digital twin environments and validation frameworks to ensure reliable, secure, and
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revolution in the field of legged robotics and their successful custom deployment in various applications. Project overview The aim of this project is to develop a software framework for AI based Holistic Co
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amplifier performance. By combining advanced device measurements, empirical modeling, and power amplifier design, this project will generate new insights into the material, process, and design factors
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interstellar medium”, funded by the Swedish Research Council (PI: J. Kainulainen). In this project, we combine novel observational data, such as Gaia-based dust density measurements, with advanced modeling
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-based peptides with the use of generative AI, and test them for kinase inhibition and prevention of biofilm formation in several relevant bacterial pathogens. Your work tasks as a postdoc will include
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kinases, which will be tested for their capacity to hinder bacterial biofilm formation and virulence. The aim of the project is to generate knowledge-based peptides with the use of generative AI, and test
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Join us at the Division of Applied Chemistry , Department of Chemistry and Chemical Engineering, and help advance knowledge in the field of molecular characterization of cellulose-based and