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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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new generation of perceptual foundation models by contributing advanced perceptual pre-training and fine-tuning algorithms. What you will do You will carry out research and development in the areas
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-tuning algorithms. What you will do You will carry out research and development in the areas of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to
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match human expectations. It is a major challenge to develop agents and frameworks that account for uncertainty, risk and interaction in the way humans do. As human behavior depends on a tightly
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sufficiently “compact” (i.e. algorithmically small and computationally efficient) to enable incorporation in integrated PED models. The development of these compact models will involve collaboration with several
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
of “clouds”. Popular discussions revolve around the topics of data protection, algorithmic regulation, and asymmetric ‘technological dependencies’ that raise concerns around monopolies and “digital sovereignty
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control with teleoperated human inputs? Change: Develop novel algorithms and interfaces for teaching robots in shared control with human operators. Impact: Provide a seamless interface for humans to teach
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ability to effectively deal with external developments such as staff shortage. This will be based on insights into the characteristics of operations, and attributes (e.g., learning demand, availability
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data