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Claes Nøhr Ladefoged is an Associate Professor at the Technical University of Denmark. His research is primarily focused on areas concerning the United Nations Sustainable Development Goals, particularly the intersection of technology and healthcare. He is known for his robust contributions to the field of interpretable deep learning, with ongoing projects such as predicting fetal development through ultrasound imaging. This innovative approach aims to enhance the accuracy and effectiveness of prenatal care, while simultaneously addressing broader healthcare challenges. Claes actively supervises PhD students and collaborates extensively within and beyond his field, reinforcing his commitment to interdisciplinary research and the pursuit of sustainable solutions that align with global health objectives.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.