55 computer-algorithm-"CNRS"-"Prof" positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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Summary: We offer a post in scientific computing in structural biology. To bring together electron microscopic and crystallographic structural information, you will and develop routines to combined
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Electronics and Computer Science at the University of Southampton is the UK’s top School integrating Computer Science, Electronics, and Electrical Engineering. The subject of Electronics and
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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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The University of Southampton is seeking to make the appointment to the role of Senior CAFM Manager. The University of Southampton is a leading research-intensive University, a founding member of the prestigious Russell Group, and one of the top 100 universities worldwide. We deliver excellent...
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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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delivery of our innovative NxtGen Researcher Programme and help establish the NxtGen Researcher Academy. This multi-disciplinary position focuses on engaging young people in health research, combining
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Search over Personal Repositories - Secure and Sovereign”). The post is based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating
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, faster, longer? Future of Healthful Work – a large scale interdisciplinary program we’re leading asks the question “what if work were healthful from the outset, rather than being something from which we
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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