1,505 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" research jobs in United Kingdom
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are the principal intellectual home of scholarly efforts that explore in-depth the dynamic and interconnected histories, religions, and philosophies of the world. You can find further information on the key criteria
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measurement requirements, and with the modelling PDRA to support model parameterisation and interpretation of simulation results. Maintain accurate experimental records, contribute to data curation and support
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, Inequality, and Opportunity. About you You have completed, or be close to completion, of a doctorate in a social science discipline (or a relevant data science field), have interest and research in the field
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of multimorbid cardiovascular disease progression. The role will involve laboratory research, data processing and analysis. About you As the successful applicant, you will have a BSc or MSc in a Biological Science
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(SEEA EA) data to develop methods and on-ground case studies, gaining experience in stakeholder engagement, scholarly publication and practical tool development. What you will deliver: Conduct World-class
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed
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role in a major research project, as directed by Mr Piers Boshier and other academic supervisors. The research project will entail project design, experimental work in addition to data analysis and
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, conducting desktop and site-based service mapping exercise, qualitative data collection and analysis, and working closely with the PPI Leads in co-producing outputs and associated toolkits to aid
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-Doctoral Research Associate. Preference may be given to candidates with active interests in one or more of the following areas: colour vision, machine learning, computer vision, and virtual reality. The core