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synthesis, and generative methods for designing new materials with targeted functionalities. The role also involves organizing training and joint activities in AI for materials science, collaborating with
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infrastructures and major users to ensure that data is handled according to the FAIR principles. You will also contribute to the development of European Data Spaces as platforms for applying AI methods to data, and
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University. This is a highly cross-disciplinary research group, with competence within both mathematical modelling, software development, and both experimental and clinical research. Projects are done in close
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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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the post-holder is expected to contribute to its upkeep and the updating of software. There will be opportunities to contribute to scientific publications and presentations. The successful candidates
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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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and activities connected to our PhD program. In addition to producing individual research, the applicant is also expected to interact with existing researchers within the department, and to contribute