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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
no later than two months after taking up the position. For more information see: http://www.uio.no/english/research/phd/ Personal skills Self-driven and highly motivated about fundamental science. Very good
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submitted to the department no later than two months after taking up the position. For more information see: http://www.uio.no/english/research/phd/ Personal skills Self-driven and highly motivated about
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of the Researcher will be to perform data analysis of long-term mental health aspects following COVID-19 infection using big data analysis. Colourbox via Unsplash Colourbox Qualifications PhD degree in psychology
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see: http://www.uio.no/english/research/phd/ Personal skills Self-driven and
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Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see: http://www.uio.no/english/research
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. Potential methodological topics focus on meta-analyses and the analysis of large-scale assessment data: Methods and approaches to synthesize large data sets via meta-analyses (e.g., meta-analyses of large
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decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
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candidate should have prior knowledge of quasi-experimental methods and, preferably, large data sources such as register data. The research fellow must take part in the faculty’s approved PhD program and is
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of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see: http://www.uio.no
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experimental and computational approaches to profiling antibody-antigen binding at large-scale. The Greiff Lab focuses on the quantitative understanding of adaptive immune receptor (antibody and T-cell receptor