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and analyzes quantitative and qualitative data on the firms’ pro bono efforts related to human rights, environment and climate change, and migration. PROBONO seeks to understand these dynamics and their
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advocates in world politics. For this aim, the project collects and analyzes quantitative and qualitative data on the firms’ pro bono efforts related to human rights, environment and climate change, and
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of Biostatistics, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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they release their toxic cargo to kill the cancer cells. Methods include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse
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statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural equation modeling). Familiarity with the opioid and endocannabinoid system and topics related
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include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse immunological assays, advanced flow cytometry, fluorescence