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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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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
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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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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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, including practical experience in laboratory techniques such as cell culture, PCR, cloning, and western blotting. Basic proficiency in using office software and statistical analysis tools such as SPSS
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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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. The candidate must demonstrate analytical skills and documented competence to work with analysis programs, for example Nvivo. Prior knowledge of a statistical software is also an advantage. The applicant should
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. It is also highly meritorious to have previous good knowledge of olfactory function testing within a clinical setting and documented good knowledge of inference statistics. It is meritorious to have an
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health, or public health in general A good knowledge in statistical methodology. Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time. Application