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-authored peer-reviewed publications relevant to the project and position Demonstrated proficiency in advanced statistical analysis Strong writing and organizational skills Willingness to collaborate with
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-authored peer-reviewed publications relevant to the project and position Demonstrated proficiency in advanced statistical analysis Strong writing and organizational skills Willingness to collaborate with
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
large-scale health data and advanced epidemiological and statistical methods. Fluency in English (written and spoken) is required. Experience with the Nordic nationwide registers is considered
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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here: https://nexs.ku.dk/english/research/nutrition-health/lifecourse-nutrition-and-health/ Your job As postdoc you would play a key role in the PREPARE-CHILD study (https://nexs.ku.dk/forskning
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. We expect that you Hold a PhD (or view to obtain a PhD degree) in economics, health economics, statistics, data science, or a related field. (Please note that, in accordance with the rules
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Science including quantitative and qualitative consumer research methodologies, and experience in designing consumer studies in and out-side Denmark. Solid experience in statistical analysis are preferred
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in developing and implementing project ideas. Is motivated to invest the effort required to publish in leading academic journals. Has excellent training in statistics and quantitative methods with
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. Applicants with interests and experience in any of galaxy formation, Lyman-alpha absorption, ISM/CGM evolution at high redshifts, JWST NIRSpec spectroscopy, ALMA spectral data, and statistical inference
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Science including quantitative and qualitative consumer research methodologies, and experience in designing consumer studies in and out-side Denmark. Solid experience in statistical analysis are preferred