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will also design and develop statistical analysis plans, including advanced methods in epidemiology. Statistical analyses will then be carried out following the statistical analysis plans. A significant
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immunofluorescence (mIF) staining on tissue samples, scanning and analyzing stained tissue sections using advanced imaging software and equipment, and performing statistical analyses, such as Chi-square tests and
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. We encourage the submission of an application even if your experience does not match all the listed qualifications. Proven experience in statistics and data analysis, including multivariate data
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with a strong background in software development, or software developer with a strong interest in science. You will join a new project, within which applied statistics and information theory is used
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working with interdisciplinary approaches and the use of conceptual and analytical frameworks is also beneficial. Knowledge in statistics, modeling, and analytical skills, as well as proven creativity and
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image analysis, - Compilation of results, troubleshooting, statistical calculations, and presentation of results are essential in the project. Qualifications PhD degree in Life Science subject or a
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mathematics, statistics, data science or related disciplines or a foreign degree equivalent to a PhD degree in the above subjects. The degree needs to be obtained by the time of the decision of employment
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to independently analyse data and to develop scientific texts on a scientific basis Knowledge of advanced statistical and machine learning techniques Experience in developing data visualization. Additional
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Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, spatially resolved RNA-seq and genotypic data using current state of the art