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, algorithms, and tools critical to VFD’s vision of an enhanced customer offering. The following links provide more information on Knowledge Transfer Partnerships (https://www.ktp-uk.org/ ) and VFD Pro Limited
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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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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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facility, which will address the world’s most pressing healthcare challenges through interdisciplinary research. You have the chance to make a real difference. We are looking for an experienced
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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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multiple techniques. This will allow researchers to visualise and ‘manually weight’ different types of information from different sources globally and locally across a macromolecular structure, and pipe
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excited about making a difference by bringing technology from the lab to the market and empowering the next generation of innovators, we encourage you to apply. We are looking for someone to start as soon
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connecting and enhancing the different data infrastructures they use. Through PSDI researchers will be able to: Find and Access reference quality data from commercial and open sources Combine data from