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Jeppe Thagaard is a PhD student whose research focuses on the application of deep learning methods in histology-based cancer research diagnostics. His work aims to improve diagnostic accuracy through advanced analysis techniques, contributing significantly to the understanding of cancer pathology. Jeppe is actively engaged in projects related to the UN Sustainable Development Goals, aligning his research with global efforts to address critical health issues. His collaborations with various supervisors and examiners enhance his research output and facilitate knowledge sharing across disciplines. Jeppe's work has been recognized in various platforms, including Scopus and ORCID, underscoring his contributions to the academic community.
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.