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the physical layer but can also cover aspects of the media access control and network layers. The research is expected to use methodology from signal processing, communication theory, mathematics, wave
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but can also cover aspects of the media access control and network layers. The research is expected to use methodology from signal processing, communication theory, mathematics, wave propagation
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candidate/MSCA fellow for the project: “MHT in the 21st century.” The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full
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cells and their role in obesity related complications such as insulin resistance and type 2 diabetes. In addition, we are interested in how signals coming from immune cells are influencing healthy vs
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. - Apply graph-based and machine-learning tools to model signaling networks driving plasticity. - Validate candidate pathways in cell culture and mouse models. - Present findings at seminars and conferences
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wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with
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biomedicine. Read more about the Department here Project description This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader
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, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en
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research focuses on the function of adipose tissue immune cells and their role in obesity related complications such as insulin resistance and type 2 diabetes. In addition, we are interested in how signals
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used to build neural networks using light transmission for connections and interpretation of electrical signals for memory and signal analysis. It will also include the design of nanophotonic elements