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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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Nutrition (EPIC) Study. You will implement and develop state-of-the-art scientific and statistical analysis techniques, in particular those based on machine learning, to develop integrated, multi-omics
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. This includes the coordination of statistical consulting services. Accordingly, excellent research achievements in the advertised field are required, evidenced through publications and competitive third-party
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the field and support publishing our research in leading scientific journals What you have to offer: PhD in physics or computer science with a strong background in statistics and a passion for data Expert
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structure elucidation of natural products by 1D and 2D NMR, HRMS, other spectroscopic and computational methods Proficiency in use of software and databases (for dereplication) and statistical analysis