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In this position you will be a leading member of an exciting research group in AI-based software engineering. You will conduct original research, co-supervise doctoral students, teach, and
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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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of artificial intelligence, cloud systems, and next-generation communication infrastructures. In this position, you will develop agentic AI solutions that can autonomously configure and deploy 6G and edge-cloud
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community, focussing on model battery systems, current collector materials, and simplified electrolytes. We will establish a lab-based NAP-XPS at Chalmers in 2026 featuring in-situ/operando battery
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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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-interfaced energy resources. In addition, the project will feature extensive laboratory-based work, offering valuable hands-on experience with advanced energy technologies. About us The Division of Electric
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collaborative and interdisciplinary, offering opportunities for both independent work and team-based development. About the research project The project aims to develop and refine analytical methods that enhance
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approaches based on chiral effective field theory for describing few- and many-nucleon systems, electroweak interactions and low-energy precision tests of fundamental symmetries and physics beyond the standard
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intelligence. Trustworthy AI for 3D inspection – applying AI to point clouds and meshes for defect detection. Additional research topics, combined with the bullets above, can be based on the applicant’s
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inspection – applying AI to point clouds and meshes for defect detection. Additional research topics, combined with the bullets above, can be based on the applicant’s background and research interests