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interdisciplinary collaboration • Excellent written and oral communication skills in English • Experience with register-based research and coding/statistical analyses is an advantage It will be considered
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handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected. Applications will be assessed by
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the application and integration of data, code, and computational tools in the research at the departments. Assisting with practical tasks including access to high-performance facilities, server/data management, and
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case you have more than one file per field you need to combine the pdf-files into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files
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accomplishments (in particular quality of thesis, but also publications, code repositories, conference presentations, outreach activities, etc.). Be interested in working in a multidisciplinary and international
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file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected. The assessment process Applications will be assessed by
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acceleration for AI, neuromorphic computing, Spiking Neural Networks) Power & Energy Systems (renewable energy integration, power electronics, smart grids, grid code, harmonics mitigation) Advanced Signal
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, neuromorphic computing, Spiking Neural Networks) Power & Energy Systems (renewable energy integration, power electronics, smart grids, grid code, harmonics mitigation) Advanced Signal Processing & Communications
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organizations on projects across disciplines - from games to health, learning to robotics, data to code – in an environment designed for collaboration and technology transfer. The overall goal of the SDU