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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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inherently spatio-temporal, i.e. physical processes around us evolve over both time and space, making spatio-temporal processes and data omnipresent in science and technology, with applications ranging from
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around us evolve over both time and space, making spatio-temporal processes and data omnipresent in science and technology, with applications ranging from weather forecasting to cardiovascular medicine
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doctoral candidate will investigate new strategies to control the electronic properties of organic semiconductors through innovative doping mechanisms. The work will combine tailored molecular and materials
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application! We are looking for a PhD student to the Division of Communication Systems at the Department of Electrical Engineering (ISY). Your work assignments The position focuses on privacy and security
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qualifications For this position we are looking for someone who have completed a degree at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240 credits of which
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level in Transportation Systems, Logistics, Supply Chain Management, Industrial Engineering, Applied Mathematics or other relevant education at master's level with at least 240 higher education credits
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core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as
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out without a solid theoretical foundation. This leads to unpredictable behavior, which is a major bottleneck for efficient and resilient control of complex systems in engineering and medicine. Your
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technology or construction engineering or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge