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epidemiology and/or statistical genetics as per 1 June 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 2 years. The National Centre for Register-based Research
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use the algorithms in practice, when little to no assumptions can be made on the data. Required Qualifications PhD in computer science, mathematics, statistics, or related fields (by the start date
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publication Epidemiological investigations of causes of obesity with a focus on structural factors Statistical analysis of cohort and register-based data using epidemiological and causal inference methods
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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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experience with modern deep learning frameworks Solid understanding of applied statistics Experience working with large-scale image datasets Excellent English communication skills Desirable qualifications
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of Chemistry, and the group of Prof. Hobolth at the Department of Mathematics. A second postdoc with expertise in stochastic processes and statistical methods will be part of the project and you are expected
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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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Skills in statistical data analysis We Offer A vibrant, interdisciplinary, and supportive work environment Opportunities to work on innovative, high-impact projects The Department of Food Science The
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and verbal English communication skills Candidates with backgrounds in Physics, Mathematics, or Statistics are also encouraged to apply if they have strong competencies relevant to machine learning
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engineering, data science, statistics, mathematics, physics or an adjacent subject, with focus on medical image analysis and/or deep learning. Furthermore, the following competences will be expected