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-DN) “Magnetic Soft Matter for Robotics” (MAESTRI, Grant ID 101119614, https://maestri-project.eu/ ) is an interdisciplinary research training network of 7 universities and 2 companies from 5 countries
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Funding providers: Engineering and Physical Sciences Research Council (EPSRC) and Swansea University's Faculty of Science and Engineering Subject areas: Intelligent Robotics and Natural
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Language Understanding for Social Care Robots This PhD project will investigate and build spoken language understanding (SLU) models from data for a social care robot simulation, to react quickly and effectively
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activities such as DEMO and the UK’s future STEP powerplant. The main research area of this PhD programme is the intelligent design, manufacturing, and testing of a novel miniaturised robotic end-effector
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. We develop new technical solutions in close contact with science and industry. To strengthen the activities in the research topic "Vehicle Systems" we are looking for a PhD student. Your tasks
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Research Area - 1. Beyond 5G/6G wireless communications including signal processing, massive MIMO, Non-Orthogonal Multiple Access, Index Modulation, etc. 2. Embedded system, Robot Operating System (ROS
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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab is looking for a PhD student in physiological sensing. This job ad is intentionally short and only complete applications will be
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 5 days ago
interventions, new therapies for eye diseases, and diagnostic methods to improve prognosis and restore vision. The main technology to be developed under this program will be a novel robotic system for delivering
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 5 days ago
effective surgical interventions, new therapies for eye diseases, and diagnostic methods to improve prognosis and restore vision. The main technology to be developed under this program will be a novel robotic
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applications (e.g., to enable wearable robotics to proactively respond to the user’s activities). Deep learning has enabled promising results in various applications by automatically discovering complex