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an interdisciplinary academic team Preferred Qualifications • Experience with radiating component development from initial concept to prototype validation. • Familiarity with satellite communication system
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vision, the knowledge, and the competences to change society for the better. Energizing global, European, and Danish communities of knowledge by innovating research methodologies and by research findings
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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype
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financially supported by the VILLUM Synergy project entitled ReBatMan: A New Paradigm for Sustainable Battery Lifetime Prediction through Acoustic Sensing and Machine Learning. The project is headed by Assoc