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poverty are transformed when wealth becomes extreme and aims to build new theory on the morality of extreme wealth. The project aims at three significant academic contributions: (1) to explore and map out
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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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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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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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, 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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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