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the underlying principles. For us, it is equally important to study the impact of materials on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic
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processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in connecting
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and skills in inter- and transdisciplinary research. Ability to critically reflect on the modelling/knowledge production process from an ethical and philosophical point of view. Ability to work both
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-dimensional statistics, Gaussian approximations, time series, point processes, extreme value theory. The successful applicant will be a highly motivated researcher, capable of working both independently as
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, noise modeling, signal processing, or data-driven methods Documented research experience through scientific publications Proficiency in English, both written and spoken As a person, you are curious
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antimicrobial targets. The focus lies on membrane-associated proteins such as transmembrane channels, transporters, and stress signaling systems. The project requires thorough knowledge of bacterial cell biology
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of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges
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electronics, signal processing, system design, experiements and networking. We now consider emerging applications, such as combined fiber optical transmission and sensing, coherent communications, and for
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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
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processes and properties using both experimental and computational techniques. The research is, as such, both fundamental and applied. Project description: The project concerns electrochemical modelling of Li