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The Section of Biostatistics is looking for a postdoc to develop statistical methods for inference on causal effects in studies affected by non-random participation, particularly self-selection in
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scientific outlets. Your daily work will typically involve a combination of independent research and collaboration in project teams, where you help develop concepts, methods and solutions that are relevant
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, or other participatory research methods is welcome but not required. Experience with food consumption, sustainability, or circular economy research is an advantage but not a requirement. Note that you do not
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actively to discussions, share your insights with others and are willing to support students and junior researchers. You are structured in your approach to complex problems, curious about new methods and
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already have used data-driven computational methods to model cognitive or behavioural change in any substantive domain, that would be ideal. Experience specifically with research on consumers or citizens
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postdoctoral researcher in sustainability assessment for the bioeconomy you will develop and apply quantitative methods to understand the environmental impacts of bio-based products, technologies and systems
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must include: a presentation of an original research question a description of the initial theoretical framework and method a presentation of the proposed material a work plan for the project Application
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; survey design and online experimental methods; quantitative data analysis, preferably including choice modelling, willingness-to-pay analysis, segmentation, multivariate statistics, or related methods
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duration of employment This is a 5-month position (30 hours/week) from 01 November 2026. Job description You will be contributing to the development of catalytic methods based on transition metal catalysis
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statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability