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multi-microphone arrays and high-speed stereo video systems both in our state-of-the-art laboratory facilities and in the field. It involves a large of degree machine learning for methods development
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of flora and fauna, ecosystems ecology, environmental sociology, stakeholder engagement and integration, R-coding, GIS, and mapping software will be beneficial. More specifically, we welcome a candidate with
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contribute to the teaching activities of the section of Mechanical Engineering by teaching 1-2 courses per semester. You will focus on developing and extending in-house computational codes based on open-source
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interdisciplinary collaboration • Excellent written and oral communication skills in both Danish and English • Experience with register-based research and coding/statistical analyses is an advantage It will be
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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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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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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