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dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 23 hours ago
-supervisors) per PhD student University of Veterinary Medicine Hannover University location Activate map To activate the map, click on the "Show map" button. We would like to point out that data will be
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of the relevant faculty or University of Auckland committee. For more information about the awarding process for this scholarship, award or prize, download a copy of the regulations. Help and support You can find
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research staff of 180, of which 65 are PhD students. More information about us, please visit: the Department of Molecular Biosciences, the Wenner-Gren Institute . Project description Metabolic control
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global manufacturers. For details, visit the MTC website . For further information on this PhD position please contact Dr Sara Wang (Sara.Wang@nottingham.ac.uk ) Closing Date: 27th February 2026. Proposed
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Systems: Here, you would combine advanced microcontrollers, power and data transmission systems to create a subcutaneous control unit for bionic vision. Bionic Vision Biophysics: Here, you will explore
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experimental campaign to characterize its performance. You will be responsible for setting up a state-of-the-art data acquisition system to monitor temperatures, flow rates, and power consumption. Your
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motivated candidate with a 1st or high 2:1 degree in mechanical engineering, materials science, or a related field. Interest in advanced manufacturing and sustainability is essential. Experimental and data
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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on specific tasks within the ERC project, such as qualitative data collection, analysis, and integration of findings. You will actively participate in the collaborative and interdisciplinary environment