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tasks: Conduct cutting-edge research in learning-based and/or model-based control and/or perception strategies for dexterous robotic manipulation in simulated and real robots Support laboratory activities
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and www.spacer.lu The candidate should develop the following tasks: Conduct cutting-edge research in learning-based and/or model-based control and/or perception strategies for dexterous robotic
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has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct
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$61,008 - $74,088 Close Date 05/19/2026 Priority Review Date (Note - Posting may close at any time) Job Summary The Davis Sensory-Perception Laboratory at the University of Utah is seeking a Postdoctoral
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of competitive research proposals. You should have experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction
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interaction, contact-rich manipulation, and force-aware behaviors Integrate robotic manipulators with mobile bases, perception systems, and onboard sensors Program and deploy robotic systems for experimental
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developing algorithms for monitoring and assessing perception and motor behaviour in the hospital and home setting, with an emphasis on sensorimotor integration within the perception-action cycle. Patient
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interaction Research and design multi-modal foundation models to enhance robot autonomy, social perception and collaborative decision making Design and build machine learning algorithms and frameworks
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(PPGIS) to assess landowner perceptions, values, and willingness to engage in conservation programs. Key role in ensuring that recovery from the July 4th floods supports long‑term resilience by helping
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to coordinated behaviors and perceptions. There will be collaboration with the lab members at LBNL. We are looking for a post-doctoral researcher to work at the interface of control theory, information theory