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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
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- University of Groningen
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- Maastricht University (UM); Maastricht
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- University of Amsterdam (UvA); today published
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computational methods for the analysis and integration of –omics data. The group has a strong track record in (integrative) computational omics analysis, algorithm development, machine learning and scientific
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primary mission involves developing control strategies that enable robots to perform complex manipulation through tactile feedback. You'll focus on three critical aspects of the problem: sliding motion
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sensor technology to control grippers and multi-finger hands. Your primary mission involves developing control strategies that enable robots to perform complex manipulation through tactile feedback. You'll
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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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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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. You will take the lead on applied physics, mechanics, manufacturing processes, and algorithm/coding development within the bioprinting domain. This position is part of a larger, EU-funded Horizon Europe
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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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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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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