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excited by methodological innovation and real‑world impact. You will hold a PhD in a quantitative discipline such as infectious disease modelling, statistics, mathematical epidemiology, data science, or a
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testing, instrumentation, data acquisition systems, and numerical or analytical modelling of fatigue damage will be considered an advantage. motivation and potential for research within the field
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for Alzheimer’s disease and related dementias. Develop, adapt, and implement statistical and analytical methods tailored to complex population-based and longitudinal data, including method development
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PhD students and research assistants involved in the project. Provide training on experimental techniques, data analysis, and scientific writing. Requirements: Educational background: A Ph.D. in Plant
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the effectiveness and safety of pharmaceuticals. The initiative leverages Norway’s national health registries, advanced analytical methods, and clinical trial data to inform regulatory decisions, clinical practice
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data from live imaging and spatially resolved gene expression profiling. The work of the PhD fellow will be theoretical and computational in nature and will include: Developing minimal active-matter
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Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis
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on the developed models for agencies/commercial partners Supervise junior researchers and master students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national