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Postdoc position in method development in human statistical genetics, with a focus on classificat...
University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human
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University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human
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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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English oral and written. Knowledge of statistical analyses using STATA or similar statistical packages is desirable. Documented experience in research or projects from former studies or present job
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the following areas: Air and surface sampling of fungi in buildings and on materials Basic statistical analysis knowledge (R or similar) and multivariate statistical methods Cross-disciplinary research
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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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Job Description The section for statistics and data analysis is looking for a Postdoc to join the section, with the aim of strengthening the section’s work within scientific consultancy in
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Help driving forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a main role in developing digital tools and methodologies
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in carrying out the planned research. Below is listed experience and skills that will be considered: Proficiency in statistical and programming languages such as Perl, Python, and/or R. Experience