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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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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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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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at the division. The student will become part of the Clinical Cancer Epidemiology research group at KEP. The research group currently consists of 20 researchers with both medical and statistical backgrounds
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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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, the applicant must have: A doctoral degree in medical epidemiology or an equivalent field. A formal education in statistics and epidemiology. Experience in handling large register data, excellent data management
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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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etiology and to maintain a high level of statistical and machine learning competence with focus on image analysis. What do we offer? Choose to work at KI-Ten reasons why Career support for doctoral students
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/systems medicine, and data analysis. Knowledge in statistical methods. Ability to interpret data in a biological context. Excellent communication and team work skills. Fluent in English language. Additional