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of trustworthy, scalable, and interoperable AI solutions for the operation and management of modern electricity networks. We are currently seeking a Ph.D. student to research the following topics: Development
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, public policy support, and commercial activities of the DED/I2S unit in France and internationally. The unit’s main research themes include: (i) Assessment of the integrity of natural and engineered
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Location: Mechanical and Aerospace Systems Research Group, Faculty of Engineering, University of Nottingham Funding: UK Home fees + tax-free stipend of up to £25,000 p.a. for 4 years Applications
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, stroke rehabilitation, and chronic disease prevention. The PhD student will work in an interdisciplinary team spanning behavioural scientists, clinical psychologists, computer scientists, AI engineers, and
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under global change requires accurate and consistent soil information at global scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
Contract. General Positioning Artificial intelligence (AI) began revolutionizing digital services in 2013 with its application to image processing and computer vision. A second revolution arrived around 2020
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. For more information, please visit Working at Utrecht University . Selection process At Utrecht University, we strive to be a place where everyone feels at home. We value colleagues with different
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Technology (NTNU) has a vacancy for a full-time PhD Candidate in sustainable flotation chemistry and mineral processing. The successful candidate will join an international and interdisciplinary research
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design and operation of the offshore power supply system. Join this exciting academia–industry collaboration to reduce emissions from idling vessels anchored between operations and help shape a scalable
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the development of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB