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- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- LUDWIG MAXIMILIANS UNIVERSITAET MUENCHEN
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- Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH
- Max Planck Institute for Biology of Ageing, Cologne
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- Rheinische Friedrich-Wilhelms-Universität Bonn
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is looking for a new member with a strong background in Bioinformatics / statistics / data analysis. The group supports all institute members with state-of-the-art computational biology tools and
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its 18 Faculties, ranging from the humanities, law, economics and social sciences, to medicine and the natural sciences. The Faculty of Mathematics, Informatics and Statistics invites applications for a
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and Systems Biology develop and apply novel machine learning algorithms to detect patterns and statistical dependencies in large datasets from biology and medicine. Machine learning on graphs, machine
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success in the German and/or EU market context. The successful applicant must have strong quantitative, statistical, and analytical skills. Demonstrated knowledge of Python and Machine Learning techniques
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knowledge of analysis of primary data (especially in the area of lifestyle-related disorders and metabolic biomarkers) Experience in statistical analysis of large data sets and in working with SAS and/or R
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 13 hours ago
in working with large-scale omics data (preprocessing, QC, annotation). Knowledge of statistics in the context of biomedical research (especially association analyses with molecular data/biomarkers
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in transgenic Drosophila with quantitative imaging and statistical modeling to understand the molecular basis of regulatory changes. You will study these changes at the level of closely related
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 1 day ago
metabolic biomarkers) Experience in statistical analysis of large data sets and in working with SAS and/or R The following qualities are a definite plus: Publications in peer-reviewed journals Experience in
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constructs in transgenic Drosophila with quantitative imaging and statistical modeling to understand the molecular basis of regulatory changes. You will study these changes at the level of closely related
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Strong quantitative methods and statistics skills and proficiency with Stata or R Strong spoken and written English; fluency in Hindi desirable (basic knowledge of Telugu/Marathi an added advantage