84 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Leibniz in Germany
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System, particularly in coastal environments Further information: For questions, please contact Prof. Dr. Nils Moosdorf, email: nils.moosdorf(at)leibniz-zmt.de Details of position: Salary will be paid
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Applications should consist of a single PDF file. Applications via email are not encrypted and may therefore entail data protection concerns. The applicant takes full responsibility for this. Regarding any
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quantum remote sensing of atoms in the MLT. The new, flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software development for lidar control. Data evaluation is
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. GREIX is a highly relevant research project with significant media visibility that aims to promote transparency in the German real estate market. We combine data from notarized transaction databases with
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. Information on the topics that prospective students can specialise in within each of the four departments can be found on our website. We cooperate with the Central German Doctoral Program in Economics (CGDE
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responsibilities: creating online surveys, analysing survey data and reporting results contributing to the management of scientific project data and development of structured knowledge resources assisting with
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processing methods, mechanistic computer models and software tools and to use them in highly relevant clinical, biotechnological and pharmaceutical applications at the forefront of research. All projects
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metagenomic data) in relation to health outcomes Ability to liaise between disciplines, bridging between medical infrastructure and clinical as well as basic research Experience or interest in data analysis
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for the analysis of stable carbon isotopes in methane using the Picarro system. You will collect quantitative data for MPn in water samples from the Baltic Sea and the Warnow Estuary in order to investigate its
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and/or in the field of histology Experience in animal experimentation is an advantage Knowledge of statistical methods for data analysis Very good written and spoken English skills Willingness to stay