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the analogue and the digital. A central focus lies in the meeting of materials – how different wood species, biocomposites, and hybrid materials react and interact when processed with both traditional and
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workplace You will be employed in the Reasoning and Learning Lab (ReaL), Division of Artificial Intelligence and Integrated Computer Systems (AIICS) at the Department of Computer and Information Science (IDA
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innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will enhance
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understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
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must be compatible with massive MIMO architectures, necessitating full-duplex operation and reciprocity. The project aims to establish an innovative IC-antenna co-design methodology for full-duplex
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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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experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts
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English is required. Swedish language skills are considered an advantage. Self-motivated with a genuine interest in research and science. Prior experience with advanced signal processing concepts as
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Help for applicants . Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than December 15 2025. Applications and
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representatives Information about union representatives, see Help for applicants . Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University