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Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience with
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. Characterization and demonstration of the blue OPA based UOWC system. Supervise BSc and MSc student projects, and be co-supervisor for PhD students Data analysis, writing of scientific articles and presentations
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areas: Experience with culturing fungi and in particular basidiomycetes Using fungi biomass for food applications MALDI TOF biotyper Microbiology Work with DNA and RNA analysis Phenotype screening Enzyme
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or administrative registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience
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employment The position is for a 2-year period starting 1 August 2025. Job description The post doc will join Kasper R. Andersen’s research group working on structural and functional analysis of plant
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scenarios). Written and spoken language proficiency in English Knowledge on environmental system analysis, industrial ecology, or similar expertise. Ability to work in an international multidisciplinary
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regarded within pharmacoepidemiology and has a large international network. Furthermore, we collaborate extensively with other groups, including both clinical and basic pharmacology researchers as
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, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration. Your work
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the surface of nanoparticles based on calcium phosphate (hydroxylapatite) and/or manganese oxides in order to promote their uptake by the leaves and their translocation towards target organelles where
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems