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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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science as an innovation capability, creating new methods, services and approaches that can be applied in collaboration with food companies, technology providers, public organisations and other stakeholders
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candidate therefore has a high academic level and a good grasp of research designs and methods. Strong computational skills are necessary. The application deadline is 15 September 2026, at 11.59 PM/23.59
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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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. Experience with sampling, analytical methods, and data collection. Competence in processing, visualizing, and interpreting experimental data. Ability to work independently while contributing effectively to a
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proteomics as well as validation of analytical MS methods are considered a plus experience in nutrition is considered an advantage About us The Department of Food Science is part of the Faculty of Science and
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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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variability near the Faroe Islands and downstream ocean and climate changes around Denmark, as well as researchers working with statistical early-warning methods and Earth system modelling. Together
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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