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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include image and speech recognition, recommendation systems, and predictive analytics
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Uncertainty”, in which researchers work on developing new theory, algorithms, and case studies for discrete decision-making problems under uncertainty. For example, the newly developed algorithms will be
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-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage the approximately 34,000 students and researchers to develop their own individual talents. Belonging
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component on the path towards sustainability. This PhD position is aimed at developing algorithms for construction-related planning problems. It is part of the project Easicon, a collaboration between the