9 algorithm-"Multiple"-"Prof"-"U.S" "NTNU Norwegian University of Science and Technology" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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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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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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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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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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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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are developing a communication guide delivered by physiotherapists to improve self-management support for older people living with multiple long-term conditions and their carers in the home setting
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will be based in the Environmental Lab at the University of Southampton, with opportunities to collaborate with leading researchers across multiple institutions within EBIC. The research will be
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. You must demonstrate that you have managed multiple tasks to deadline while working in collaboration with others. The post includes meetings with the project team and industry partners. The post does
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desirable. This highly collaborative project will involve multiple research visits to academic partners within the UK and abroad up to 30 consecutive days and up to 90 days per annum for joint research and