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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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intended support design decisions related to manufacturing and process parameter selections; known to influence the material microstructure. Duties: The post doc will develop and apply computational methods
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(e.g. in automotive applications) using, for example, vibration and acoustic signals. Research questions include method development for fault detection and isolation, damage estimation systems, including
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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering has a vacant post-doctoral position in the area of numerical methods for motion planning and
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-capacity coverage and low-latency wireless access; methods to support energy-neutral (passive) devices; design of wireless networks to support distributed AI and machine learning applications; and
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and organic solar cell devices. There will also be the opportunity to gain hands-on research supervision experience through the mentoring of PhD students, as well as formulating research projects
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these may be taken into consideration. The expertise in electrochemistry and sufficient general understanding of organic chemistry, electrochemical principles and methods is essential. The experience in
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will work at the Division of Software and Systems (SaS) at the Unit of Programming Environments (PELAB) . In the research project you will work together with five professors, one postdoc and five PhD