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at Chalmers University of Technology and the European Spallation Source (ESS) in Sweden, and ISIS Neutron and Muon Source in the U.K. About us The postdoc will be based in the Division of Energy and Materials
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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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to sustainable food production, nutrition and health. Our research ranges from food chemistry and technology to precision nutrition, with a strong focus on marine and plant-based food systems. By combining
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datasets, particularly registry-based or longitudinal data. Familiarity with explainable AI and interpretable machine learning methods. What you will do Conduct independent and collaborative research in
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collaboration with six partners in Austria, Germany, and Sweden, aiming to develop advanced zinc-based batteries for stationary energy storage. The project focuses on creating efficient and reliable energy
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systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess their impact on system reliability and trustworthiness, and develop cross-layer defenses
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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project focuses on developing and refining advanced organ-on-chip technologies to study and optimize nanoparticle-based delivery systems in biologically relevant environments. The project is strongly
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us The position is based in the Division of Materials and Manufacture at the Department of Industrial and Materials Science (IMS), Chalmers University of Technology. Our division conducts cutting