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collaboration in research networks Your profile PhD in Bioinformatics, Computational Biology, Systems Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with
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, and public relations Your qualifications: At least a very good PhD in polymer research Completed university degree (M.Sc./M.Eng.) in polymer science or related field Professional experience and
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 21 days ago
researchers. We welcome applications from researchers with a PhD in demography, sociology, statistics, epidemiology, public health, biology, anthropology, economics, computer science, and allied fields
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, documentation, analysis and interpretation of experiments Presentation of results in both written and oral form, delivery of reports Support and supervision of projects from PhD students Aquisition of project
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: Prof. Stephanie Pfänder) https://www.leibniz-liv.de/forschung/forschungseinheiten/emerging-viruses . Candidate requirements: PhD in a relevant field (virology, immunology, molecular and cell biology
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 12 hours ago
Population Health is currently seeking to appoint one or more full-time post-doctoral researchers. We welcome applications from researchers with a PhD in demography, sociology, statistics, epidemiology
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 11 days ago
predictions Within these areas, we seek to fill one postdoctoral position intended for a promising young scientist who completed a PhD within the last six years. The term of employment is initially for two
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collaborate efficiently with other members of the institute. You have a PhD in Chemistry, Materials Science, Physics or a closely related discipline and proven experience in scanning transmission electron
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Service) applications support the C3S Agriculture Micro-site and Mediterranean Demonstrator with agronomic insights and data Your qualifications: PhD in crop science, computational environmental science, or
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and others) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics