26 channel-coding-electrical-engineering-"https:" PhD positions at Linköping University
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of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered
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at the Department of Science and Technology, Campus Norrköping. As a doctoral student, you will take part in a project exploring how AI can create engaging and interactive educational environments. You will
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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments You will work on a project on data driven control. In recent years
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duties, up to a maximum of 20 per cent of full-time. Your qualifications To be employed as a PhD student you need to have completed a degree at Master’s level in Electrical Engineering, Computer
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at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical
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-time. Your qualifications You have graduated at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in
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Technology, located on the river Motala Ström at Campus Norrköping. You can read more about Norrköping here: https://visit-norrkoping-se.translate.goog/bo-studera-och-etablera?_x_tr_sl=sv&_x_tr_tl=en&_x_tr_hl
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workplace The Division of Industrial Management at the Department of Management and Engineering (IEI) conducts research and provides undergraduate, postgraduate, and doctoral education in marketing and
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Infrastructure Your qualifications You hold a master’s degree in computer science, computer engineering, or you have completed courses with a minimum of 240 credits, at least 60 of which must be advanced courses
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in