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part of the ‘REMIX -TUNE - Redefining The Role Of Mixing In Ocean Overturning And Ventilation’ ERC Consolidator project, which seeks to leverage emerging sensor capabilities of autonomous profiling
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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-engineering, including control systems, soft sensors and actuators, robotics, tissue surrogates, foams, stretchable electronics or e-skins etc. The successful applicant will demonstrate: Clear plans to build
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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approaches, sound art, algorithmic governance, media and cultural studies, digital media, environmental approaches, and others. The communities and physical research sites of the project are located in
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decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
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beginning in this role. We will require all candidates invited to interview to apply for NSTIx clearance. In this role you will: Design and test detection and estimation algorithms utilising artificial
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beginning in this role. We will require all candidates invited to interview to apply for NSTIx clearance. In this role you will: Design and test detection and estimation algorithms utilising artificial
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AI algorithm learning when subjected to cyber attacks in Edge Computing environments. At the Edge AI Hub, you will join an internationally renowned and multi-disciplinary team co-led at Southampton Dr
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benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate