13 algorithm-"Multiple"-"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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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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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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, and be responsible for preparation of regular reports, publications and presentations at international conferences and project meetings. You must demonstrate that you have managed multiple tasks
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assimilation, and multiple data sources to address two key research questions about water-energy interactions at biophysical scales: What are the scales of SM variability across different landscapes and their
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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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