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of longitudinal individual-level datasets, primarily using survival analysis, but potentially including methods such as mediation analysis and target trial emulation. These analyses will focus on evaluating
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5 Mar 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Mar
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the direction of the Research Director and occasionally in collaboration with other staff and external partners, collect, clean, and review data, and conduct data analysis that may result in report production
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evolution. Our work builds on experience developing pangenome graph construction and analysis tools (PGGB, ODGI, IMPG) and contributions to the Telomere-to-Telomere Consortium and Human Pangenome Reference
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applications. The role will focus on creating demonstrator platforms that combine sensing, data integration, analytics, and visualisation to support better understanding and management of energy use, flexibility
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causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design, implementation
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combining causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design
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; 3) Develop strong competencies in collecting, processing, and analyzing plant samples to characterize herbicide resistance mechanisms; and 4) Build robust data analysis skills and enhance scientific
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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance
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incorporate it into mathematical models of trait evolution across phylogenies. The work combines dimensionality reduction and geometric data analysis with the development of statistically rigorous comparative