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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context
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of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We have performed such studies
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on harvested tissues and biofluids. The postdoc will be responsible for planning the experiments, data acquisition, preparation, analysis, manuscript writing, and other activities for disseminating the results
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optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is appropriately structured for AI
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
five bioclimatic zones. Your task will be to combine multi-source data — including field observations, environmental measurements, and satellite imagery — with mechanistic models to assess carbon
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, production efficiency, and milk production. Contact Further information on the position may be obtained from Head of research unit, Professor Peter Lund, phone: +45 4015 7673, email: Peter.Lund@anivet.au.dk
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Aarhus University with related departments. Contact Information For further information please contact: Associate professor Ulf Andersson Vang Ørom, ulf.orom@mbg.au.dk Deadline 30 July 2025. Application
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collaboration with hospital departments and industry. We offer an attractive work place with a strong publication output to support an academic career. For more information about our profile and projects, please
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area of employment is Aarhus University with related departments. Contact information For further information, please contact Prof. Selin Kara (selin.kara@bce.au.dk ), +45 2237 8964; and Assoc. Prof
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Denmark’s distinctively rich registry data, exploring a range of life outcomes throughout early development on the full Danish population (including on crucial subsets such as adoptees). We seek to use