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project funded by the sustainability initiative at UiO. The project will provide a fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development
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at the Department. Contact Dr Eikemo for a description of the project: marie.eikemo@psykologi.uio.no Responsibilities Analyze complex datasets from experimental and clinical studies including longitudinal (correlated
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to integrate large and complex molecular datasets with information at individual level, with specific attention to open and reproducible research, e.g., in the development of codes and algorithms. We will focus
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motivated PhD candidate to conduct research in the field of evidence synthesis. The project will focus on statistical methods for living network meta-analyses – dynamic networks of interventions
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for this position will specifically contribute to the project by successfully developing methods to integrate large and complex molecular datasets with information at individual level, with specific attention to open
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. The project will focus on statistical methods for living network meta-analyses – dynamic networks of interventions that are continuously updated as new evidence emerges. This PhD position offers a unique
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-edge research focused on the simulation of spectroscopic properties to unravel the geometry and electronic structure of complex systems. Key areas of research include electronic spectra simulations (XPS
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(e.g., Canvas). Designing and implementing research data collection strategies from using such tools and environments. Maintaining information security in all phases of interventions; deployment, network