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participate in the planning and running of experiments and be in charge of analyzing data from experiments, as well as performing modeling work of the phenomenon. The candidate will collaborate closely with
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addition to their PhD project, they will take part in group activities with the core project team, consisting of the PI, a postdoctoral researcher, and the other PhD research fellow. In addition, PROBONO is supported by
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relating to Universities and Universities Colleges and the national guidelines for appointment as a PhD student, a postdoctoral fellow or a research assistant. Contact persons You are strongly encouraged
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postdoctoral researcher, and the other PhD research fellow. In addition, PROBONO is supported by a research assistant. Each candidate will also get the chance to build an international network and to engage with
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fatigue. The research methods are based on both small-scale and full-scale experimental testing and on Finite Element Modelling. Timber structures have gained increasing attention in the European
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attachment. Main tasks Collect, compile, and analyze data to map the responses of plants and pollinators to climate change Participate in the development and adaptation of statistical models for analyzing
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project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict health disparities under different climate change scenarios
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/work tasks: The position is part of the Belmont Forum project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict
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modeling to simulate the pavement response under different loading conditions. The research will support improvements of the existing specification for the maximum authorized axle load and mass of vehicles
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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