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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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will work in a stimulating context with leading expertise and broad networks in experimental methods, behavioral decision-making, sustainability accounting, and financial and risk analysis. The research
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studies using qualitative, quantitative, and mixed-methods approaches, including surveys, interviews, observations, social network analysis, and analysis of digital trace data. Collaborating with industry
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, Colloborative Governance, and Social Network Analysis. The position is part of the research centre-of-excellence CenSSUR, financed by the Swedish Civil Defence and Resilience Agency (MCF). The project studies
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with experience in quantitative methods, such as statistical modeling or network analysis. Documented experience with plant community ecology, field experiments, plant-soil interactions, species coexistence
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Infrastructure Resilience Knowledge of Collaboration theories Ability to conduct social network analysis, statistical analysis of surveys, or modelling of critical infrastructures. Knowledge and experience
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). Therefore, the successful postdoc will have excellent opportunities to develop a large collaborative network and address broad questions that no individual lab can tackle alone. The postdoc will be primarily
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applications, ethical review applications, data collection, analysis, scientific publication, development and testing of ICF-based approaches, and further development of a digital ICF platform. An important part