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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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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
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publications in two or more of the following areas: o Quantum communication systems or quantum networking o Wireless communication and networking o Statistical learning and optimization o Algorithm