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team, the postdoc position will cover a variety of tasks including both research design, data collection, analysis and dissemination. The selected candidates will also be expected to contribute
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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particles and water molecules interact to form clouds. The experiments will be complemented with off-line chemical analysis and molecular modelling with collaborating groups in C3. The position will focus
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model with a farm model Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Coordinate and contribute to dissemination
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and master’s students. Your profile We are looking for a highly motivated candidate with a strong background in remote sensing, machine/deep learning, and geospatial data analysis. The ideal candidate
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explores the Danish Golden Age (1750–1930) through a detailed analysis of textual and visual sources using a computational approach. The Danish Golden Age marked the emergence of structured news flows
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, experimental design, experimental implementation and a critical approach to data analysis. The applicant should have relevant original first author papers or submitted manuscripts in recognized and relevant
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candidate will possess proficiency in: Policy engagement, stakeholder consultation, and socio-economic analysis in an agri-food context. Advanced communication skills and the capability to interact
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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modelling and surface–groundwater interaction analysis Publishing high-impact research and contributing to outreach and dissemination activities. You will work in close collaboration with colleagues