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MapPlan. Furthermore, the applicant is required to have vast experience with advanced statistical analyses, including longitudinal data and linking between survey and register data. Finally, the applicant
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aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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are looking for a candidate with strong analytical skills and broad ecological experience. The ideal applicant will have: A strong foundation in quantitative ecology and applied statistics, including use
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computational biology with a strong focus on development of computational and statistical methods, particularly within machine learning and artificial intelligence. The applicant must have earned a PhD degree and
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The following qualifications are desirable for the position, but none are strict prerequisites: • A relevant academic degree (Master’s or PhD) in statistics, data science, mathematics, quantitative biology, or a
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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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of memory narratives. Perform data analysis using statistical software such as R and SPSS. Contribute critically to academic writing and the publication process. Take part in the center’s research events
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Aarhus BSS Graduate School, Aarhus University invites applicants for a PhD Scholarship in connection with the research project Econometrics at the PhD Programme Economics and Business Economics. The
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Society at the Department of Food Science, Aarhus University ( http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/ ). The position will be affiliated to science-based advice
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for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who are cooperating across