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microscopy). Experience in programming for hardware control and data analysis, e.g. using Python, is a clear advantage. We offer DTU is a leading technical university globally recognized for the excellence
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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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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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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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information Further information is available from Principal Investigator Christian Damm Pedersen (cdp@sdu.dk , phone: +45 65508382) or Vice Head of Department Anne Klara Bom (akbom@sdu.dk ). Questions related
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emissions regulation. Key tasks: Designing survey experiments that test whether S-R affects public support for stricter government regulation. Developing experimental treatments. Managing data collection in
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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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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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starting date is 1 January 2026 or as soon as possible thereafter. The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be
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epidemiology in connection with an ambitious new large-scale study within molecular epidemiology. The study will combine data from the Danish nation-wide registries with pre-diagnostic biological data to study