9 algorithm-"Multiple" "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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, 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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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