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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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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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Research Fellowship (PRF) for PhD CS Program Location Rio Grande Valley, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Computer
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in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be in distributed database systems
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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enrolled in the PhD program of the Faculty of Educational Sciences and is required to take 30 credits of coursework. The research fellow is expected to complete the PhD degree within the fellowship period
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. The employment period will be three years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD program in technology within three
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Programme Manager and KIS Principal Investigator. The post-holder will also work collaboratively with funders, NHS staff, public members and other stakeholders to plan and deliver high-quality, applied
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responsibilities The Research Fellow/Senior Research Fellow will: Lead GBD research projects, which may include systematic reviews, meta-analyses, and epidemiological disease modelling. Set research direction 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