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resources, the practical value for ADAS is maximized. Topic B) To develop novel acoustic Deep Learning techniques to achieve state-of-the-art performance in multi-sensor environment perception for autonomous
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Markov decision process, after which some combination of logic reasoning, discrete optimization and machine learning results in a seemless execution in which the robot stays withing the bounderies set by
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specifically, you will study and develop algorithms for managing the robot's information based on these observations and based on a predefined, or learned, knowledge structure. Since our robots will operate in
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to computational cardiology. In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust
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-touch monitoring, telemetry analysis and controlling of 6G communication systems. You will leverage state-of-the-art AI/ML techniques such as Reinforcement Learning, Deep Learning, Bayesian Learning and
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: The goal here is to leverage physic information from the medium (such as PDE models) to develop deep learning solutions for spatiotemporal data on graphs. Machine learning on higher-order networks: We want
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under deep uncertainty, or are keen to learn. You thrive on conducting research geared to real-world application in the security domain and are intrinsically motivated to collaborate with the Police. You
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laundering and corruption. Harnessing system dynamics to capture the complexity and deep uncertainty, you will model basic structures of crime organisations. Your models will leverage limited available data
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& infrastructure modelling, algorithmic decision-making, transportation engineering, uncertainty quantification, geo-data analytics, machine learning, and optimization; Experience with data-driven and/or deep
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, or related fields; A good understanding of at least one of the following areas: machine/deep learning, large language models, Transformers, NLP, and ability to apply these for static code analysis; Strong