53 phd-data-mining Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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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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experience in qualitative and quantitative data skills in health research. Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The
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. Responsibilities will include: systematic reviewing and evidence synthesis, project management (coordination and reporting), maintaining high quality research procedures, qualitative and quantitative data collection
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the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You
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PhD or equivalent professional qualifications and experience will be in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working
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extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services
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We are looking for a Senior Research Assistant/Research Fellow to work closely with the international quality of survival (QoS) lead and data coordinator in the European paediatric neuro-oncology
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methods is also desired. In our study we are investigating whether it is possible to predict how many nurses are needed on hospital wards from routinely collected data. You will have an interest in
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work, analysing qualitative data, writing it up for publication. The work would include working with PPI and working with a multidisciplinary team. You will need experience of qualitative research and a
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to