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of our group, your mission will be to apply epidemiological designs as well as twin methodology and polygenic risk scores (PRS), conduct statistical analyses, and prepare presentations and scientific
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knowledge on cancer 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
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or a degree in Medicine. You must also have: Experience of working with statistical packages for quantitative analysis and experience of STATA is needed. Excellent speaking and writing skills in english
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, or a related field is required. Strong analytic skills and knowledge of statistical programing in SAS or R is also highly desirable. Additionally, the incoming student must have very good command
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within research. Own research activity or research merits. Knowledge of statistics. Knowledge in nutritional science or microbiology/molecular biology. Knowledge of German is advantageous. What do we offer
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, epidemiology, biostatistics, public health, ageing research or a closely related field. Strong experience with registry-based research and statistical methods for observational data analysis is required. Data
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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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of guidelines through our external communication channels. Your profile We are looking for those who have: Master in Psychology or Public Health. Documented competence and training in statistics and data