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of Organic Electronics (LOE), we develop new chemical strategies to transform wood and wood-derived molecules and polymers into functional, high-performance, and circular materials. We are now looking for a
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to transform wood and wood-derived molecules and polymers into functional, high-performance, and circular materials. We are now looking for a PhD student to join our research team. Your work assignments The goal
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application! We invite applications for a fully funded PhD student position to join the research group of Andrew Winters to work on challenging problems in Computational Mathematics for accurate and reliable
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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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distributed MIMO systems. Your work assignments The research focus for the advertised position is machine learning for telecommunications. The position is part of the project "Machine learning for sensing in
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application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new distributed MIMO systems. Your work
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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. The position is based at the Laboratory of Organic Electronics at Linköping University, Sweden. Your work assignments Building on our established work in electrophoretic and iontronic drug delivery for precise
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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look forward to receiving your application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through