433 data-"https:" "https:" "https:" "https:" "https:" "University of Minho" Postdoctoral research jobs in United Kingdom
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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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the selection of strategic alternatives. Most of his research uses large-scale quantitative data analysis alongside semi-structured interviews. He uses unique data that he collects by scraping multiple data
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chemical information, enabling deeper understanding of fibres used in next‑generation battery and photovoltaic applications. You will work closely with academic collaborators and industry partners, and
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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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, 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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neuroscience, physiology, biology, or a related field. Research Experience & Technical Skills You must have: Experience in task programming and neuroimaging data analysis, including fMRI collection and analysis
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of researchers together with an integrated academic and industrial project team to develop new learning and to disseminate the project findings. For more information about the Research Assistant (grade 5) please
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research objectives and processes; obtaining ethical approval; and conducting research involving primary data collection and analysis (predominantly qualitative, plus quantitative surveys). The project is
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Optics, Quantum Nanophysics and Quantum Information group of the Faculty of Physics. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe
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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