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well as collaborate with PhD candidates. You'll design experiments using our robotic platform, analyze tactile data patterns, implement real-time control algorithms, and validate performance across diverse scenarios
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-time control algorithms, and validate performance across diverse scenarios. You'll be part of the Tactile Machines Lab, which is a dynamic, interdisciplinary group of researcher bringing together
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acceleration approaches across different sensing and fault scenarios, thereby informing hardware and architecture trade-offs for future missions. (b) Designing and developing ML and AI algorithms to enhance FDIR
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Welcome to Maastricht University! The world is changing rapidly, and we’re changing with it. Here, your work makes a difference – whether you’re exploring the future as a researcher, inspiring
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. Here, your work makes a difference – whether you’re exploring the future as a researcher, inspiring students in the classroom, or helping shape everything that makes our education and research possible
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with reinforcement learning algorithms is a strong plus. TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch
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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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allocation policies and task division policies can be designed to flexibly allocate teachers with different profiles to learning activities? c) what sharing mechanisms can be designed to enable cooperation
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across domains. 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