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tools and “big data” approaches with a special focus on Bayesian analysis Designing, conducting, and interpreting statistical analysis, including analysis of cohort, cross-sectional and clinical studies
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is expected An excellent mathematical background and experience in software development is required Experience in developing and applying statistical and/or machine learning-based computational methods
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about statistical and machine learning knowledge about gene editing techniques, e.g. CRISP-Cas he/she should have experience in bioinformatics, including next generation sequencing pipelines, data
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thinking, confident demeanour, motivational skills · Excellent written and spoken English and Spanish skills · Good knowledge of Microsoft Office · Good knowledge of economic statistics and life cycle