18 data-"https:"-"https:"-"https:"-"https:"-"FCiências" PhD scholarships at Leibniz in Germany
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. Applications arriving until January 4th . 2026 are considered for this position. For more information about the DPZ, please visit http://www.dpz.eu or call 0551 / 3851-105.
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of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is October 12, 2025. Please apply via our applicant portal . If you have any questions (reference number
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. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is October 12, 2025. Please apply via our
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(Administration) recruiting.leibniz-lsb(at)tum.de . We look forward to receiving your application! Data Protection Notice: As part of your application for a position at Leibniz-LSB@TUM, you will transmit personal
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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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reporter lines Presentation and publication of scientific data Your profile: Diploma or master’s degree in biology, biochemistry, or closely related field Open mindset and enthusiasm for scientific work and
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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
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. The flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software development. Data evaluation is an essential part of the project work to distinguish between