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of Signals and Systems, at the Department of Electrical Engineering. Here you will find a friendly work environment and strong research projects. The Division of Signals and Systems collaborates with Swedish
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, signal processing, or another closely related technical field. The applicant should also demonstrate an interest in health technology and the ability to work with complex and large-scale health data using
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are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
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-on artificial intelligence. To achieve the vision, research will focus on improving the hardware for both 6G devices and space-based satellites, developing signal processing methods that handle large signal
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artificial intelligence and control systems. In this project, you will design new algorithms for semantic communication between the cloud and autonomous systems—technology that can transform how robots, drones
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environments, as well as reliable distributed signal processing and AI. Departmental duties may be offered. Entry requirements To be admitted to third-cycle studies, the applicant must meet both the general and
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networks, or animal observations in ecological studies. These data are commonly analysed using spatial or spatio-temporal point processes, which describe how events occur and interact. In many applications
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quantification analysis of time series data and dynamic processes, where signals and responses evolve over time. Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry
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such as satellites, LEO constellations, fixed links, automotive radar, and Earth observation stations, using techniques from signal processing, communications theory, optimization, and AI. You will join the
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Engineering (ISY), Linköping University. The Division for Communication Systems carries out research, undergraduate and postgraduate education in communications engineering, statistical signal processing