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with machine learning, specifically deep learning (Transformers, RNNs, CNNs, etc.), and XAI techniques. Experience with collaborative, cross-cultural research environments. Who we are At the Department
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mathematics, or a related area. The ideal candidate has strong familiarity with several of the following subjects: algorithmics, mathematical modelling, graph transformation, algorithm engineering. Applications
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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resource recovery pipelines You will contribute to the translation of structural and biophysical insights into technologies or methods for transforming recovered biopolymers into valuable products or process
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world to research and develop new technologies and services to power the green transition. For more, including our recent strategy ” Gearing up for the global energy transformation ”, see wind.dtu.dk. Technology for
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the transformational capabilities of students, graduates and business leaders via our educational activities and opportunities for lifelong learning. Complex challenges call for joint action, and therefore our strategy