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in a PhD thesis submitted to the University of Oslo. We seek a highly motivated candidate with a strong background in molecular biology, human genetics/genomics, data mining, machine learning, and
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associated health risks. Together with supervisors, the PhD Research Fellow, will contribute to the finalization of the test protocol and will be responsible for collecting physiological data that provide
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responses. You will investigate how novel microproteins control immune-cell activation, cytokine networks, and resolution of inflammation, integrating mechanistic experimentation with large-scale molecular
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. Salary and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post-PhD, and benefits can be found
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skills, including econometric and statistical methods, and experience of analysing labour market data. We would particularly welcome experience of using large-scale survey, administrative or linked
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is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their
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Comparative Social Policy (International) (IMCSP), and an MSocSc Programme in Sociology and Data Analytics (MSoDA), and has been successful in attracting MPhil and PhD students from around the world, as
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at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
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ability to translate complex data into accessible, user-friendly visualisations. Desirable Requirements MSc or PhD in Data Science, Geoinformatics, Computer Science, AI, or a closely related quantitative
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an experienced, motivated quantitative Research Training Fellow to lead data integrative analyses in large-scale epidemiological studies of cancer and apply innovative methods in epidemiology, statistics and data