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role in applying advanced imaging methods for processing and evaluating PET, MRI imaging data, performing statistical analyses, and preparing scientific manuscripts under supervision. The group provides
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could lower the risk of future outcomes. The goal of this project is to apply multivariate statistics and quasi-causal designs to examine whether various interventions might be causally linked to lower
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large databases and patient registries as well as significant knowledge of different statistical analysis methods including R, STATA and/or SAS. Proficiency with SQL software will be beneficial. Previous
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regression modeling of survival data, as the project involves development of statistical methodology. Good programming skills in Stata, SAS or R is an advantage. Additional requirements: Excellent
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: epidemiology, gerontology, genetics, bioinformatics, biostatistics, statistics, medical biotechnology, or a related discipline, and have a strong interest in aging and proteomics. The applicant must have at
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management as well as experience of data collection. It is also meritorious that the applicant has knowledge in data management and quantitative statistical analysis, scientific publication, and good IT skills
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-MS/MS is required. Previous experience in affinity purification and good analytical and statistical skills, as well as handling of human samples, is meritorious. Experience in primary cell culturing
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functions. Other responsibilities include development of methodology and work routines, literature review, statistical analysis, adhering to the lab policies, assisting with administrative tasks and drafting
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have exceptional opportunities to work with large register and survey databases and also good opportunities to develop as a statistician. Your mission The work involves statistical analyses of data
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degree/ master degree in statistics or biostatistics, or in Health Economics, and ideally previous experience in epidemiological research. Demonstrable advanced skills and expertise in R programming, STATA